Genomic Intelligence

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Genomic Intelligence

Author : Sheetanshu Gupta
Publisher : CRC Press
ISBN 13 : 1040269575
Total Pages : 376 pages
Book Rating : 4.0/5 (42 download)

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Book Synopsis Genomic Intelligence by : Sheetanshu Gupta

Download or read book Genomic Intelligence written by Sheetanshu Gupta and published by CRC Press. This book was released on 2024-12-06 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of metagenomics has revolutionized our comprehension of microbial diversity and function across various habitats, from the human body to terrestrial and aquatic environments. Simultaneously, advancements in AI have empowered researchers to analyze vast troves of genomic data with unprecedented speed and precision, facilitating new insights into the complex interplay between microorganisms and their surroundings. The subject matter in this book provides an overview of metagenomics and discusses the combination of metagenomics and AI and its significant consequences for advancements in science. The chapters examine the approaches, difficulties, and revolutionary uses of AI in metagenomics and provide insight into the convergence of genomics, metagenomics, and AI’s potential to revolutionize diverse fields from healthcare to environmental. Print edition not for sale in South Asia (India, Sri Lanka, Nepal, Bangladesh, Pakistan or Bhutan)

Darwin's Blind Spot

Author : Frank Ryan
Publisher : Houghton Mifflin Harcourt
ISBN 13 : 9780618118120
Total Pages : 328 pages
Book Rating : 4.1/5 (181 download)

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Book Synopsis Darwin's Blind Spot by : Frank Ryan

Download or read book Darwin's Blind Spot written by Frank Ryan and published by Houghton Mifflin Harcourt. This book was released on 2002 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: In Ryan's view, cooperation, not competition, lies at the heart of human society.".

Artificial Intelligence

Author :
Publisher : BoD – Books on Demand
ISBN 13 : 1789840171
Total Pages : 142 pages
Book Rating : 4.7/5 (898 download)

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Book Synopsis Artificial Intelligence by :

Download or read book Artificial Intelligence written by and published by BoD – Books on Demand. This book was released on 2019-07-31 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) is taking on an increasingly important role in our society today. In the early days, machines fulfilled only manual activities. Nowadays, these machines extend their capabilities to cognitive tasks as well. And now AI is poised to make a huge contribution to medical and biological applications. From medical equipment to diagnosing and predicting disease to image and video processing, among others, AI has proven to be an area with great potential. The ability of AI to make informed decisions, learn and perceive the environment, and predict certain behavior, among its many other skills, makes this application of paramount importance in today's world. This book discusses and examines AI applications in medicine and biology as well as challenges and opportunities in this fascinating area.

Genetics and Genomics of Eye Disease

Author : Xiaoyi Raymond Gao
Publisher : Academic Press
ISBN 13 : 0128167270
Total Pages : 386 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Genetics and Genomics of Eye Disease by : Xiaoyi Raymond Gao

Download or read book Genetics and Genomics of Eye Disease written by Xiaoyi Raymond Gao and published by Academic Press. This book was released on 2019-09-12 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: Genetics and Genomics of Eye Disease: Advancing to Precision Medicine thoroughly examines the latest genomics methods for studying eye disease, including complex eye disorders associated with multiple genes. GWAS, WES, WGS, RNA-sequencing, and transcriptome analysis as employed in ocular genomics are discussed in-depth, as are genomics findings tied to early-onset glaucoma, strabismus, age-related macular degeneration, adult-onset glaucoma, diabetic retinopathy, keratoconus, and leber congenital amaurosis, among other diseases. Research and clinical specialists offer guidance on conducting preventative screenings and counseling patients, as well as the promise of machine learning, computational statistics and artificial intelligence in advancing ocular genomics research. - Offers thorough guidance on conducting genetic and genomic studies of eye disease - Examines the genetic basis of a wide range of complex eye diseases and single-gene and Mendelian disorders - Discusses the application of genetic testing and genetic risk prediction in eye disease diagnosis and patient counseling

Computational Genomics with R

Author : Altuna Akalin
Publisher : CRC Press
ISBN 13 : 1498781861
Total Pages : 463 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Computational Genomics with R by : Altuna Akalin

Download or read book Computational Genomics with R written by Altuna Akalin and published by CRC Press. This book was released on 2020-12-16 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Genomics with R provides a starting point for beginners in genomic data analysis and also guides more advanced practitioners to sophisticated data analysis techniques in genomics. The book covers topics from R programming, to machine learning and statistics, to the latest genomic data analysis techniques. The text provides accessible information and explanations, always with the genomics context in the background. This also contains practical and well-documented examples in R so readers can analyze their data by simply reusing the code presented. As the field of computational genomics is interdisciplinary, it requires different starting points for people with different backgrounds. For example, a biologist might skip sections on basic genome biology and start with R programming, whereas a computer scientist might want to start with genome biology. After reading: You will have the basics of R and be able to dive right into specialized uses of R for computational genomics such as using Bioconductor packages. You will be familiar with statistics, supervised and unsupervised learning techniques that are important in data modeling, and exploratory analysis of high-dimensional data. You will understand genomic intervals and operations on them that are used for tasks such as aligned read counting and genomic feature annotation. You will know the basics of processing and quality checking high-throughput sequencing data. You will be able to do sequence analysis, such as calculating GC content for parts of a genome or finding transcription factor binding sites. You will know about visualization techniques used in genomics, such as heatmaps, meta-gene plots, and genomic track visualization. You will be familiar with analysis of different high-throughput sequencing data sets, such as RNA-seq, ChIP-seq, and BS-seq. You will know basic techniques for integrating and interpreting multi-omics datasets. Altuna Akalin is a group leader and head of the Bioinformatics and Omics Data Science Platform at the Berlin Institute of Medical Systems Biology, Max Delbrück Center, Berlin. He has been developing computational methods for analyzing and integrating large-scale genomics data sets since 2002. He has published an extensive body of work in this area. The framework for this book grew out of the yearly computational genomics courses he has been organizing and teaching since 2015.

Artificial Intelligence Theory, Models, and Applications

Author : P Kaliraj
Publisher : CRC Press
ISBN 13 : 1000460606
Total Pages : 507 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Artificial Intelligence Theory, Models, and Applications by : P Kaliraj

Download or read book Artificial Intelligence Theory, Models, and Applications written by P Kaliraj and published by CRC Press. This book was released on 2021-10-21 with total page 507 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines the fundamentals and technologies of Artificial Intelligence (AI) and describes their tools, challenges, and issues. It also explains relevant theory as well as industrial applications in various domains, such as healthcare, economics, education, product development, agriculture, human resource management, environmental management, and marketing. The book is a boon to students, software developers, teachers, members of boards of studies, and researchers who need a reference resource on artificial intelligence and its applications and is primarily intended for use in courses offered by higher education institutions that strive to equip their graduates with Industry 4.0 skills. FEATURES: Gender disparity in the enterprises involved in the development of AI-based software development as well as solutions to eradicate such gender bias in the AI world A general framework for AI in environmental management, smart farming, e-waste management, and smart energy optimization The potential and application of AI in medical imaging as well as the challenges of AI in precision medicine AI’s role in the diagnosis of various diseases, such as cancer and diabetes The role of machine learning models in product development and statistically monitoring product quality Machine learning to make robust and effective economic policy decisions Machine learning and data mining approaches to provide better video indexing mechanisms resulting in better searchable results ABOUT THE EDITORS: Prof. Dr. P. Kaliraj is Vice Chancellor at Bharathiar University, Coimbatore, India. Prof. Dr. T. Devi is Professor and Head of the Department of Computer Applications, Bharathiar University, Coimbatore, India.

Genomic Biointelligence

Author : Edenilson Brandl
Publisher : Edenilson Brandl
ISBN 13 :
Total Pages : 267 pages
Book Rating : 4./5 ( download)

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Book Synopsis Genomic Biointelligence by : Edenilson Brandl

Download or read book Genomic Biointelligence written by Edenilson Brandl and published by Edenilson Brandl. This book was released on with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is with great enthusiasm that I present to you the book "Genomic Biointelligence". This book is a fascinating journey through the ever-evolving world of genomics and artificial intelligence, exploring their intersection and the role of the genomic biointelligence within this context. Genomics has revolutionized our understanding of the genetic code and brought with it a vast volume of data that challenges our ability to analyze and interpret. On the other hand, artificial intelligence has emerged as a powerful tool to deal with this complexity and extract valuable information from genomic data. Within the pages of this book, you will be guided on a comprehensive journey through key topics related to the application of artificial intelligence in genomics. From the history and evolution of artificial intelligence in genomics research to the latest applications in diagnostics, drug discovery, precision medicine and disease research, each chapter presents an important aspect of this rapidly expanding field. You will learn about genetic algorithms and their application in genomics, mathematical modeling of genomic regulatory networks, the use of neural networks in predicting protein structures, and much more. We will also discuss the challenges and limitations of using artificial intelligence in genomics, as well as ethical issues and the importance of data privacy. In addition, we will highlight the fundamental role of the genomic biointelligencist, a multidisciplinary professional who combines knowledge in genomics, artificial intelligence, bioinformatics and other related areas. The genomic biointelligence plays a crucial role in applying artificial intelligence to advance genomic research, discover new treatments, develop personalized therapies, and drive precision medicine. As we progress through this book, you will be invited to explore recent advances and the exciting possibilities that arise from the combination of genomics and artificial intelligence. Through practical examples, case studies and in-depth discussions, we hope to provide you with a solid understanding of the concepts and applications of this rapidly expanding field. Finally, I would like to express my gratitude to all the experts and researchers who contributed their unique knowledge and insights to this book. Their efforts and dedication are instrumental in advancing the field of genomics and artificial intelligence. I hope you will find this book a valuable source of information and inspiration. May it arouse your curiosity, stimulate discussions and motivate you to further explore the frontiers of knowledge in the field of genomics and artificial intelligence.

Human Genome Informatics

Author : Christophe Lambert
Publisher : Academic Press
ISBN 13 : 0128134313
Total Pages : 316 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Human Genome Informatics by : Christophe Lambert

Download or read book Human Genome Informatics written by Christophe Lambert and published by Academic Press. This book was released on 2018-08-02 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: Human Genome Informatics: Translating Genes into Health examines the most commonly used electronic tools for translating genomic information into clinically meaningful formats. By analyzing and comparing interpretation methods of whole genome data, the book discusses the possibilities of their application in genomic and translational medicine. Topics such as electronic decision-making tools, translation algorithms, interpretation and translation of whole genome data for rare diseases are thoroughly explored. In addition, discussions of current human genome databases and the possibilities of big data in genomic medicine are presented. With an updated approach on recent techniques and current human genomic databases, the book is a valuable source for students and researchers in genome and medical informatics. It is also ideal for workers in the bioinformatics industry who are interested in recent developments in the field. - Provides an overview of the most commonly used electronic tools to translate genomic information - Brings an update on the existing human genomic databases that directly impact genome interpretation - Summarizes and comparatively analyzes interpretation methods of whole genome data and their application in genomic medicine

Speech and Computer

Author : Alexey Karpov
Publisher : Springer
ISBN 13 : 3319664298
Total Pages : 845 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Speech and Computer by : Alexey Karpov

Download or read book Speech and Computer written by Alexey Karpov and published by Springer. This book was released on 2017-09-01 with total page 845 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 19th International Conference on Speech and Computer, SPECOM 2017, held in Hatfield, UK, in September 2017. The 80 papers presented in this volume were carefully reviewed and selected from 150 submissions. The papers present current research in the area of computer speech processing (recognition, synthesis, understanding etc.) and related domains (including signal processing, language and text processing, computational paralinguistics, multi-modal speech processing, human-computer interaction).

She Has Her Mother's Laugh

Author : Carl Zimmer
Publisher : Penguin
ISBN 13 : 1101984600
Total Pages : 672 pages
Book Rating : 4.1/5 (19 download)

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Book Synopsis She Has Her Mother's Laugh by : Carl Zimmer

Download or read book She Has Her Mother's Laugh written by Carl Zimmer and published by Penguin. This book was released on 2018-05-29 with total page 672 pages. Available in PDF, EPUB and Kindle. Book excerpt: 2019 PEN/E.O. Wilson Literary Science Writing Award Finalist "Science book of the year"—The Guardian One of New York Times 100 Notable Books for 2018 One of Publishers Weekly's Top Ten Books of 2018 One of Kirkus's Best Books of 2018 One of Mental Floss's Best Books of 2018 One of Science Friday's Best Science Books of 2018 “Extraordinary”—New York Times Book Review "Magisterial"—The Atlantic "Engrossing"—Wired "Leading contender as the most outstanding nonfiction work of the year"—Minneapolis Star-Tribune Celebrated New York Times columnist and science writer Carl Zimmer presents a profoundly original perspective on what we pass along from generation to generation. Charles Darwin played a crucial part in turning heredity into a scientific question, and yet he failed spectacularly to answer it. The birth of genetics in the early 1900s seemed to do precisely that. Gradually, people translated their old notions about heredity into a language of genes. As the technology for studying genes became cheaper, millions of people ordered genetic tests to link themselves to missing parents, to distant ancestors, to ethnic identities... But, Zimmer writes, “Each of us carries an amalgam of fragments of DNA, stitched together from some of our many ancestors. Each piece has its own ancestry, traveling a different path back through human history. A particular fragment may sometimes be cause for worry, but most of our DNA influences who we are—our appearance, our height, our penchants—in inconceivably subtle ways.” Heredity isn’t just about genes that pass from parent to child. Heredity continues within our own bodies, as a single cell gives rise to trillions of cells that make up our bodies. We say we inherit genes from our ancestors—using a word that once referred to kingdoms and estates—but we inherit other things that matter as much or more to our lives, from microbes to technologies we use to make life more comfortable. We need a new definition of what heredity is and, through Carl Zimmer’s lucid exposition and storytelling, this resounding tour de force delivers it. Weaving historical and current scientific research, his own experience with his two daughters, and the kind of original reporting expected of one of the world’s best science journalists, Zimmer ultimately unpacks urgent bioethical quandaries arising from new biomedical technologies, but also long-standing presumptions about who we really are and what we can pass on to future generations.

Artificial Intelligence for COVID-19

Author : Diego Oliva
Publisher : Springer Nature
ISBN 13 : 3030697444
Total Pages : 594 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Artificial Intelligence for COVID-19 by : Diego Oliva

Download or read book Artificial Intelligence for COVID-19 written by Diego Oliva and published by Springer Nature. This book was released on 2021-07-19 with total page 594 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a compilation of the most recent implementation of artificial intelligence methods for solving different problems generated by the COVID-19. The problems addressed came from different fields and not only from medicine. The information contained in the book explores different areas of machine and deep learning, advanced image processing, computational intelligence, IoT, robotics and automation, optimization, mathematical modeling, neural networks, information technology, big data, data processing, data mining, and likewise. Moreover, the chapters include the theory and methodologies used to provide an overview of applying these tools to the useful contribution to help to face the emerging disaster. The book is primarily intended for researchers, decision makers, practitioners, and readers interested in these subject matters. The book is useful also as rich case studies and project proposals for postgraduate courses in those specializations.

Algebraic Biology, Matrix Genetics, And Genetic Intelligence

Author : Sergei V Petoukhov
Publisher : World Scientific
ISBN 13 : 981127827X
Total Pages : 616 pages
Book Rating : 4.8/5 (112 download)

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Book Synopsis Algebraic Biology, Matrix Genetics, And Genetic Intelligence by : Sergei V Petoukhov

Download or read book Algebraic Biology, Matrix Genetics, And Genetic Intelligence written by Sergei V Petoukhov and published by World Scientific. This book was released on 2023-08-02 with total page 616 pages. Available in PDF, EPUB and Kindle. Book excerpt: Historically, mathematics, probability, and statistics have been widely used in the biological sciences. Recent progress in genomics has yielded many millions of gene sequences. But what do these sequences tell us and what are the generalities and rules governed by them? It seems that we understand very little about the genetic contexts required to 'read' them. There is more to life than the genomic blueprint of each organism. Life functions within the natural laws that we know and the ones we do not know. The development of modern mathematical natural sciences is based on the use of certain mathematical tools. Mathematics can be used to understand life from the molecular to the biosphere level.This book provides the foundation and latest advances for an emerging research area that uses tools from symbolic computation, computer algebra and logic, algebraic geometry, fractal geometry, probability and statistics, and matrix algebra to formalize and solve biological problems and explore its applications in algebraic biology and code biology. It introduces highly interdisciplinary topics in biomathematics such as matrix genetics, gestalt biology, bio-antenna arrays, resonance genetics, quantum biology, and more.

The Routledge International Handbook of Psychosocial Epidemiology

Author : Mika Kivimäki
Publisher : Routledge
ISBN 13 : 1317375122
Total Pages : 536 pages
Book Rating : 4.3/5 (173 download)

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Book Synopsis The Routledge International Handbook of Psychosocial Epidemiology by : Mika Kivimäki

Download or read book The Routledge International Handbook of Psychosocial Epidemiology written by Mika Kivimäki and published by Routledge. This book was released on 2017-12-14 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt: The health effects of psychosocial factors are a widely discussed and controversial topic. Do positive and negative emotions affect our risk of developing physical disease? Are depressive individuals more likely to have cancer than those with an optimistic outlook on life? And what is the role of IQ in staying healthy and recovering from disease? Importantly, can we improve our health and life expectancy by avoiding certain psychosocial risk factors and maximizing positive psychological well-being? These and other questions are the focus of psychosocial epidemiology, a discipline linking psychological, social and biological sciences. The Routledge International Handbook of Psychosocial Epidemiology is the first book to map this growing discipline. Including contributions from many of the leading researchers in the field, it is divided into five sections: Part I: Methodological challenges in studying psychosocial factors and health; Part II: Psychosocial factors in the etiology and prognosis of chronic diseases; Part III: Controversies in the psychosocial approach; Part IV: Interventions and policy implications Part V: Future research directions Taking advantage of a huge growth in research in recent years, the book provides the reader with the essentials to evaluate the diverse set of studies on psychosocial factors and health that are published today, and describes study designs in this field of research, progress in judging the validity of epidemiological evidence, as well as challenges in translating evidence into action. This is an important and timely book. Providing methodological rigour, critical analysis and the policy implications of this emerging field of study, The Routledge International Handbook of Psychosocial Epidemiology will be an invaluable resource for students and researchers within both behavioural and medical sciences, as well as policy makers and others working in health and social care.

Genomic Citizenship

Author : Ian McGonigle
Publisher : MIT Press
ISBN 13 : 026236669X
Total Pages : 221 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Genomic Citizenship by : Ian McGonigle

Download or read book Genomic Citizenship written by Ian McGonigle and published by MIT Press. This book was released on 2021-08-10 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: An anthropological study based on ethnographic work in Israel and Qatar explores the relationship between science, particularly genetics, and national identity. Based on ethnographic work in Israel and Qatar, two small Middle Eastern ethnonations with significant biomedical resources, Genomic Citizenship explores the relationship between science and identity. Ian McGonigle, originally trained as a biochemist, draws on anthropological theory, STS, intellectual history, critical theory, Middle Eastern studies, cultural studies, and critical legal studies. He connects biomedical research on ethnic populations to the political, economic, legal, and historical context of the state; to global trends in genetic medicine; and to the politics of identity in the context of global biomedical research. Genomic Citizenship is more an anthropology of scientific objects than an anthropology of scientists or an ethnography of the laboratory. McGonigle bases his untraditional project on traditional anthropological methods, including participant observation. Some of the most persuasive data in the book are from public records, legal and historical sources, published scientific papers, institutional reports, websites, and brochures. McGonigle discusses biological understandings of Jewishness, especially in relation to the intellectual history of Zionism and Jewish political thought, and considers the possibility of a novel application of genetics in assigning Israeli citizenship. He also describes developments in genetic medicine in Qatar and analyzes the Qatari Biobank in the context of Qatari nationalism and state-building projects. Considering possible consequences of findings on the diverse origins of the Qatari population for tribal identities, he argues that the nation cannot be defined as either a purely natural or biological entity. Rather, it is reified, reinscribed, and refracted through genomic research and discourse.

The Genetic Lottery

Author : Kathryn Paige Harden
Publisher : Princeton University Press
ISBN 13 : 0691190801
Total Pages : 312 pages
Book Rating : 4.6/5 (911 download)

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Book Synopsis The Genetic Lottery by : Kathryn Paige Harden

Download or read book The Genetic Lottery written by Kathryn Paige Harden and published by Princeton University Press. This book was released on 2021-09-21 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: A provocative and timely case for how the science of genetics can help create a more just and equal society In recent years, scientists like Kathryn Paige Harden have shown that DNA makes us different, in our personalities and in our health—and in ways that matter for educational and economic success in our current society. In The Genetic Lottery, Harden introduces readers to the latest genetic science, dismantling dangerous ideas about racial superiority and challenging us to grapple with what equality really means in a world where people are born different. Weaving together personal stories with scientific evidence, Harden shows why our refusal to recognize the power of DNA perpetuates the myth of meritocracy, and argues that we must acknowledge the role of genetic luck if we are ever to create a fair society. Reclaiming genetic science from the legacy of eugenics, this groundbreaking book offers a bold new vision of society where everyone thrives, regardless of how one fares in the genetic lottery.

The Neuroscience of Intelligence

Author : Richard J. Haier
Publisher : Cambridge University Press
ISBN 13 : 1009295047
Total Pages : 317 pages
Book Rating : 4.0/5 (92 download)

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Book Synopsis The Neuroscience of Intelligence by : Richard J. Haier

Download or read book The Neuroscience of Intelligence written by Richard J. Haier and published by Cambridge University Press. This book was released on 2023-07-27 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new edition provides an accessible guide to advances in neuroscience research and what they reveal about intelligence. Compelling evidence shows that genetics plays a major role as intelligence develops from childhood, and that intelligence test scores correspond strongly to specific features of the brain assessed with neuroimaging. In detailed yet understandable language, Richard J. Haier explains cutting-edge techniques based on DNA and imaging of brain connectivity and function. He dispels common misconceptions – such as the belief that IQ tests are biased or meaningless. Readers will learn about the real possibility of dramatically enhancing intelligence and the positive implications this could have for education and social policy. The text also explores potential controversies surrounding neuro-poverty, neuro-socioeconomic status, and the morality of enhancing intelligence for everyone.

Deep Learning for the Life Sciences

Author : Bharath Ramsundar
Publisher : O'Reilly Media
ISBN 13 : 1492039802
Total Pages : 236 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Deep Learning for the Life Sciences by : Bharath Ramsundar

Download or read book Deep Learning for the Life Sciences written by Bharath Ramsundar and published by O'Reilly Media. This book was released on 2019-04-10 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep learning has already achieved remarkable results in many fields. Now it’s making waves throughout the sciences broadly and the life sciences in particular. This practical book teaches developers and scientists how to use deep learning for genomics, chemistry, biophysics, microscopy, medical analysis, and other fields. Ideal for practicing developers and scientists ready to apply their skills to scientific applications such as biology, genetics, and drug discovery, this book introduces several deep network primitives. You’ll follow a case study on the problem of designing new therapeutics that ties together physics, chemistry, biology, and medicine—an example that represents one of science’s greatest challenges. Learn the basics of performing machine learning on molecular data Understand why deep learning is a powerful tool for genetics and genomics Apply deep learning to understand biophysical systems Get a brief introduction to machine learning with DeepChem Use deep learning to analyze microscopic images Analyze medical scans using deep learning techniques Learn about variational autoencoders and generative adversarial networks Interpret what your model is doing and how it’s working