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Statistical Modelling And Machine Learning Principles For Bioinformatics Techniques Tools And Applications
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Book Synopsis Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications by : K. G. Srinivasa
Download or read book Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications written by K. G. Srinivasa and published by Springer Nature. This book was released on 2020-01-30 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses topics related to bioinformatics, statistics, and machine learning, presenting the latest research in various areas of bioinformatics. It also highlights the role of computing and machine learning in knowledge extraction from biological data, and how this knowledge can be applied in fields such as drug design, health supplements, gene therapy, proteomics and agriculture.
Book Synopsis Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications by : K. G. Srinivasa
Download or read book Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications written by K. G. Srinivasa and published by . This book was released on 2020 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses topics related to bioinformatics, statistics, and machine learning, presenting the latest research in various areas of bioinformatics. It also highlights the role of computing and machine learning in knowledge extraction from biological data, and how this knowledge can be applied in fields such as drug design, health supplements, gene therapy, proteomics and agriculture.
Book Synopsis Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics by : Sujata Dash
Download or read book Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics written by Sujata Dash and published by CRC Press. This book was released on 2022-02-10 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biomedical and Health Informatics is an important field that brings tremendous opportunities and helps address challenges due to an abundance of available biomedical data. This book examines and demonstrates state-of-the-art approaches for IoT and Machine Learning based biomedical and health related applications. This book aims to provide computational methods for accumulating, updating and changing knowledge in intelligent systems and particularly learning mechanisms that help us to induce knowledge from the data. It is helpful in cases where direct algorithmic solutions are unavailable, there is lack of formal models, or the knowledge about the application domain is inadequately defined. In the future IoT has the impending capability to change the way we work and live. These computing methods also play a significant role in design and optimization in diverse engineering disciplines. With the influence and the development of the IoT concept, the need for AI (artificial intelligence) techniques has become more significant than ever. The aim of these techniques is to accept imprecision, uncertainties and approximations to get a rapid solution. However, recent advancements in representation of intelligent IoTsystems generate a more intelligent and robust system providing a human interpretable, low-cost, and approximate solution. Intelligent IoT systems have demonstrated great performance to a variety of areas including big data analytics, time series, biomedical and health informatics. This book will be very beneficial for the new researchers and practitioners working in the biomedical and healthcare fields to quickly know the best performing methods. It will also be suitable for a wide range of readers who may not be scientists but who are also interested in the practice of such areas as medical image retrieval, brain image segmentation, among others. • Discusses deep learning, IoT, machine learning, and biomedical data analysis with broad coverage of basic scientific applications • Presents deep learning and the tremendous improvement in accuracy, robustness, and cross- language generalizability it has over conventional approaches • Discusses various techniques of IoT systems for healthcare data analytics • Provides state-of-the-art methods of deep learning, machine learning and IoT in biomedical and health informatics • Focuses more on the application of algorithms in various real life biomedical and engineering problems
Book Synopsis Data Science for Effective Healthcare Systems by : Hari Singh
Download or read book Data Science for Effective Healthcare Systems written by Hari Singh and published by CRC Press. This book was released on 2022-07-29 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Science for Effective Healthcare Systems has a prime focus on the importance of data science in the healthcare domain. Various applications of data science in the health care domain have been studied to find possible solutions. In this period of COVID-19 pandemic data science and allied areas plays a vital role to deal with various aspect of health care. Image processing, detection & prevention from COVID-19 virus, drug discovery, early prediction, and prevention of diseases are some thrust areas where data science has proven to be indispensable. Key Features: The book offers comprehensive coverage of the most essential topics, including: Big Data Analytics, Applications & Challenges in Healthcare Descriptive, Predictive and Prescriptive Analytics in Healthcare Artificial Intelligence, Machine Learning, Deep Learning and IoT in Healthcare Data Science in Covid-19, Diabetes, Coronary Heart Diseases, Breast Cancer, Brain Tumor The aim of this book is also to provide the future scope of these technologies in the health care domain. Last but not the least, this book will surely benefit research scholar, persons associated with healthcare, faculty, research organizations, and students to get insights into these emerging technologies in the healthcare domain.
Book Synopsis Blockchain and Deep Learning by : Khaled R. Ahmed
Download or read book Blockchain and Deep Learning written by Khaled R. Ahmed and published by Springer Nature. This book was released on 2022-03-25 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces to blockchain and deep learning and explores and illustrates the current and new trends that integrate them. The pace and speeds for connectivity are certain on the ascend. Blockchain and deep learning are twin technologies that are integral to integrity and relevance of network contents. Since they are data-driven technologies, rapidly growing interests exist to incorporate them in efficient and secure data sharing and analysis applications. Blockchain and deep learning are sentinel contemporary research technologies. This book provides a comprehensive reference for blockchain and deep learning by covering all important topics. It identifies the bedrock principles and forward projecting methodologies that illuminate the trajectory of developments for the decades ahead.
Book Synopsis Bioinformatics Applications Based On Machine Learning by : Pablo Chamoso
Download or read book Bioinformatics Applications Based On Machine Learning written by Pablo Chamoso and published by MDPI. This book was released on 2021-09-01 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: The great advances in information technology (IT) have implications for many sectors, such as bioinformatics, and has considerably increased their possibilities. This book presents a collection of 11 original research papers, all of them related to the application of IT-related techniques within the bioinformatics sector: from new applications created from the adaptation and application of existing techniques to the creation of new methodologies to solve existing problems.
Author :Jaroslaw Meller Publisher :Peter Lang Gmbh, Internationaler Verlag Der Wissenschaften ISBN 13 : Total Pages :136 pages Book Rating :4.F/5 ( download)
Book Synopsis Applications of Statistical and Machine Learning Methods in Bioinformatics by : Jaroslaw Meller
Download or read book Applications of Statistical and Machine Learning Methods in Bioinformatics written by Jaroslaw Meller and published by Peter Lang Gmbh, Internationaler Verlag Der Wissenschaften. This book was released on 2007 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical and machine learning approaches play an increasingly important role in biomedical research. In the absence of fundamental (first principle-based) models, or because of the computational complexity of such models, statistical and machine learning approaches are being used to identify interesting structures in the data (e.g. patterns in gene expression profiles), correlate these patterns and other «input» attributes with (e.g. medically) relevant outcomes, and to develop predictors that can generalize from known data and make predictions for new data instances. Examples of important applications include structural bioinformatics, in which one of the goals is to predict elements of protein structure from amino acid sequence, or microarray gene expression profiling, in which the goal is to discover interesting patterns in gene expression data and correlate them with clinically relevant phenotypes. This volume includes papers submitted to the BIT 2005 workshop on the Applications of Machine and Statistical Learning Methods in Bioinformatics that took place in September 2005 in Torun, Poland.
Book Synopsis Applications of Statistical and Machine Learning Methods in Bioinformatics by : Jaroslaw Meller
Download or read book Applications of Statistical and Machine Learning Methods in Bioinformatics written by Jaroslaw Meller and published by Peter Lang Pub Incorporated. This book was released on 2007-01-01 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical and machine learning approaches play an increasingly important role in biomedical research. In the absence of fundamental (first principle-based) models, or because of the computational complexity of such models, statistical and machine learning approaches are being used to identify interesting structures in the data (e.g. patterns in gene expression profiles), correlate these patterns and other -input attributes with (e.g. medically) relevant outcomes, and to develop predictors that can generalize from known data and make predictions for new data instances. Examples of important applications include structural bioinformatics, in which one of the goals is to predict elements of protein structure from amino acid sequence, or microarray gene expression profiling, in which the goal is to discover interesting patterns in gene expression data and correlate them with clinically relevant phenotypes. This volume includes papers submitted to the BIT 2005 workshop on the Applications of Machine and Statistical Learning Methods in Bioinformatics that took place in September 2005 in Torun, Poland."
Book Synopsis Artificial Intelligence for Information Management: A Healthcare Perspective by : K. G. Srinivasa
Download or read book Artificial Intelligence for Information Management: A Healthcare Perspective written by K. G. Srinivasa and published by Springer Nature. This book was released on 2021-05-20 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the advancements in artificial intelligent techniques used in the well-being of human healthcare. It details the techniques used in collection, storage and analysis of data and their usage in different healthcare solutions. It also discusses the techniques of predictive analysis in early diagnosis of critical diseases. The edited book is divided into four parts – part A discusses introduction to artificial intelligence and machine learning in healthcare; part B highlights different analytical techniques used in healthcare; part C provides various security and privacy mechanisms used in healthcare; and finally, part D exemplifies different tools used in visualization and data analytics.
Book Synopsis Bioinformatics Tools for Pharmaceutical Drug Product Development by : Vivek Chavda
Download or read book Bioinformatics Tools for Pharmaceutical Drug Product Development written by Vivek Chavda and published by John Wiley & Sons. This book was released on 2023-03-14 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: BIOINFORMATICS TOOLS FOR Pharmaceutical DRUG PRODUCT DLEVELOPMENT A timely book that details bioinformatics tools, artificial intelligence, machine learning, computational methods, protein interactions, peptide-based drug design, and omics technologies, for drug development in the pharmaceutical and medical sciences industries. The book contains 17 chapters categorized into 3 sections. The first section presents the latest information on bioinformatics tools, artificial intelligence, machine learning, computational methods, protein interactions, peptide-based drug design, and omics technologies. The following 2 sections include bioinformatics tools for the pharmaceutical sector and the healthcare sector. Bioinformatics brings a new era in research to accelerate drug target and vaccine design development, improving validation approaches as well as facilitating and identifying side effects and predicting drug resistance. As such, this will aid in more successful drug candidates from discovery to clinical trials to the market, and most importantly make it a more cost-effective process overall. Readers will find in this book: Applications of bioinformatics tools for pharmaceutical drug product development like process development, pre-clinical development, clinical development, commercialization of the product, etc.; The ever-expanding application of this novel technology and discusses some of the unique challenges associated with such an approach; The broad and deep background, as well as updates, on recent advances in both medicine and AI/ML that enable the application of these cutting-edge bioinformatics tools. Audience The book will be used by researchers and scientists in academia and industry including drug developers, computational biochemists, bioinformaticians, immunologists, pharmaceutical and medical sciences, as well as those in artificial intelligence and machine learning.
Book Synopsis Your Passport to a Career in Bioinformatics by : Prashanth N. Suravajhala
Download or read book Your Passport to a Career in Bioinformatics written by Prashanth N. Suravajhala and published by Springer Nature. This book was released on 2021-02-16 with total page 115 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book which is the second edition of Your Passport to a Career in Bioinformatics, is intended for students who plan to work in bioinformatics. In addition to addressing the opportunities and challenges faced by today’s bioinformatics community, it demonstrates how bioinformatics is currently transitioning from research to vocation and avocation. Further, it extols the virtues of in silico for bioinformatics predictions, as it helps wet-lab biologists reduce the time needed for experiments. In turn, the book addresses career prospects and the Ten Commandments for becoming a bioinformatics professional; bioinformatics for developing countries; bioinformatics for schools; bioinformatics for markets; and the knowns and unknowns of bioinformatics. It also explores how bioinformatics interacts with various fields in terms of three Cs: consistency, continuity, and credibility.
Book Synopsis Artificial Intelligence Technologies for Computational Biology by : Ranjeet Kumar Rout
Download or read book Artificial Intelligence Technologies for Computational Biology written by Ranjeet Kumar Rout and published by CRC Press. This book was released on 2022-11-10 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text emphasizes the importance of artificial intelligence techniques in the field of biological computation. It also discusses fundamental principles that can be applied beyond bio-inspired computing. It comprehensively covers important topics including data integration, data mining, machine learning, genetic algorithms, evolutionary computation, evolved neural networks, nature-inspired algorithms, and protein structure alignment. The text covers the application of evolutionary computations for fractal visualization of sequence data, artificial intelligence, and automatic image interpretation in modern biological systems. The text is primarily written for graduate students and academic researchers in areas of electrical engineering, electronics engineering, computer engineering, and computational biology. This book: • Covers algorithms in the fields of artificial intelligence, and machine learning useful in biological data analysis. • Discusses comprehensively artificial intelligence and automatic image interpretation in modern biological systems. • Presents the application of evolutionary computations for fractal visualization of sequence data. • Explores the use of genetic algorithms for pair-wise and multiple sequence alignments. • Examines the roles of efficient computational techniques in biology.
Book Synopsis Principles of Genomics and Proteomics by : Rakeeb Ahmad Mir
Download or read book Principles of Genomics and Proteomics written by Rakeeb Ahmad Mir and published by Elsevier. This book was released on 2023-01-25 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: Principles of Genomics and Proteomics is the perfect reference for graduate students and researchers in these areas to understand its principles and execute precise and reproducible experiments. Following an introductory chapter, the book dives into proper research, including genome mapping. Experiments covered in the book span from Sangers Sequencing, Shotgun sequencing, SAGE analysis, DNA footprinting, Gel retardation, ChIP, and protein resolution methods, including PAGE, 2D gel electrophoresis and isoelectric focusing. Biophysical techniques are also described in detail, including ultraviolet and visible light spectroscopy, fluorescence spectroscopy, NMR and X-ray diffraction. A final proteome analysis is dedicated to functional analysis. Other chapters cover applications of omics technologies broadly. This book is the perfect reference for genetics labs around the world. Graduate students will benefit from the structured and detailed coverage of methods and established researchers will benefit from the book for staff training in research and may find it particularly helpful in enhancing reproducibility of experiments. Provides a comprehensive accounting of the technical aspects of genomic and proteomic analysis and applications in living organisms Includes detailed and standardized coverage of basic research methods in areas covered Presents advanced applications of genomics and proteomics that are highlighted with major significance in medical and agricultural fields
Book Synopsis Machine Intelligence and Data Analytics for Sustainable Future Smart Cities by : Uttam Ghosh
Download or read book Machine Intelligence and Data Analytics for Sustainable Future Smart Cities written by Uttam Ghosh and published by Springer Nature. This book was released on 2021-05-31 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest advances in computational intelligence and data analytics for sustainable future smart cities. It focuses on computational intelligence and data analytics to bring together the smart city and sustainable city endeavors. It also discusses new models, practical solutions and technological advances related to the development and the transformation of cities through machine intelligence and big data models and techniques. This book is helpful for students and researchers as well as practitioners.
Book Synopsis Society 5.0: Smart Future Towards Enhancing the Quality of Society by : K. G. Srinivasa
Download or read book Society 5.0: Smart Future Towards Enhancing the Quality of Society written by K. G. Srinivasa and published by Springer Nature. This book was released on 2022-05-21 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book discusses Society 5.0 which fills the gap between cyber and physical space by providing a balanced environment between economic and social needs. The book is divided into two parts; part A focuses on various concepts related to Society 5.0 such as cyber space, physical space, information management and digital transformation. Part B discusses various integrated fields in Society 5.0, such as super-smart healthcare system, super-smart hospitality system, smart building, and transport management system. It also illustrates the concepts of big data, real-time analytics for smart Society 5.0 with an insight of real-time case studies.
Book Synopsis Proceedings of Data Analytics and Management by : Deepak Gupta
Download or read book Proceedings of Data Analytics and Management written by Deepak Gupta and published by Springer Nature. This book was released on 2021-11-21 with total page 850 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2021), held at Jan Wyzykowski University, Poland, during June 2021. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students.
Book Synopsis Introduction to Modern Biophysics by : Mohammad Ashrafuzzaman
Download or read book Introduction to Modern Biophysics written by Mohammad Ashrafuzzaman and published by CRC Press. This book was released on 2023-12-15 with total page 603 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook provides an introduction to the fundamental and applied aspects of biophysics for advanced undergraduate and graduate students of physics, chemistry, and biology. The application of physics principles and techniques in exploring biological systems has long been a tradition in scientific research. Biological systems hold naturally inbuilt physical principles and processes which are popularly explored. Systematic discoveries help us understand the structures and functions of individual biomolecules, biomolecular systems, cells, organelles, tissues, and even the physiological systems of animals and plants. Utilizing a physics- based scientific understanding of biological systems to explore disease is at the forefront of applied scientific research. This textbook covers key breakthroughs in biophysics whilst looking ahead to future horizons and directions of research. It contains models based on both classical and quantum mechanical treatments of biological systems. It explores diseases related to physical alterations in biomolecular structures and organizations alongside drug discovery strategies. It also discusses the cutting- edge applications of nanotechnologies in manipulating nanoprocesses in biological systems. Key Features: • Presents an accessible introduction to how physics principles and techniques can be used to understand biological and biochemical systems. • Addresses natural processes, mutations, and their purposeful manipulation. • Lays the groundwork for vitally important natural scientific, technological, and medical advances. Mohammad Ashrafuzzaman, a biophysicist and condensed matter scientist, is passionate about investigating biological and biochemical processes utilizing physics principles and techniques. He is a professor of biophysics at King Saud University’s Biochemistry Department in the College of Science, Riyadh, Saudi Arabia; the co- founder of MDT Canada Inc., and the founder of Child Life Development Institute, Edmonton, Canada. He has authored Biophysics and Nanotechnology of Ion Channels, Nanoscale Biophysics of the Cell, and Membrane Biophysics. He has also published about 50 peer- reviewed articles and several patents, edited two books, and has been serving on the editorial boards of Elsevier and Bentham Science journals. Dr. Ashrafuzzaman has held research and academic ranks at Bangladesh University of Engineering & Technology, University of Neuchatel (Switzerland), Helsinki University of Technology (Finland), Weill Medical College of Cornell University (USA), and University of Alberta (Canada). During 2013– 2018 he also served as a Visiting Professor at the Departments of Oncology, and Medical Microbiology and Immunology, of the University of Alberta. Dr. Ashrafuzzaman earned his highest academic degree, Doctor of Science (D.Sc.) in condensed matter physics from the University of Neuchatel, Switzerland in 2004.
