Big Data Analytics In Chemoinformatics And Bioinformatics

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Big Data Analytics in Chemoinformatics and Bioinformatics

Author : Subhash C. Basak
Publisher : Elsevier
ISBN 13 : 0323857140
Total Pages : 503 pages
Book Rating : 4.3/5 (238 download)

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Book Synopsis Big Data Analytics in Chemoinformatics and Bioinformatics by : Subhash C. Basak

Download or read book Big Data Analytics in Chemoinformatics and Bioinformatics written by Subhash C. Basak and published by Elsevier. This book was released on 2022-12-06 with total page 503 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big Data Analytics in Chemoinformatics and Bioinformatics: With Applications to Computer-Aided Drug Design, Cancer Biology, Emerging Pathogens and Computational Toxicology provides an up-to-date presentation of big data analytics methods and their applications in diverse fields. The proper management of big data for decision-making in scientific and social issues is of paramount importance. This book gives researchers the tools they need to solve big data problems in these fields. It begins with a section on general topics that all readers will find useful and continues with specific sections covering a range of interdisciplinary applications. Here, an international team of leading experts review their respective fields and present their latest research findings, with case studies used throughout to analyze and present key information. Brings together the current knowledge on the most important aspects of big data, including analysis using deep learning and fuzzy logic, transparency and data protection, disparate data analytics, and scalability of the big data domain Covers many applications of big data analysis in diverse fields such as chemistry, chemoinformatics, bioinformatics, computer-assisted drug/vaccine design, characterization of emerging pathogens, and environmental protection Highlights the considerable benefits offered by big data analytics to science, in biomedical fields and in industry

Big Data Analytics in Bioinformatics and Healthcare

Author : Wang, Baoying
Publisher : IGI Global
ISBN 13 : 1466666129
Total Pages : 528 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Big Data Analytics in Bioinformatics and Healthcare by : Wang, Baoying

Download or read book Big Data Analytics in Bioinformatics and Healthcare written by Wang, Baoying and published by IGI Global. This book was released on 2014-10-31 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: As technology evolves and electronic data becomes more complex, digital medical record management and analysis becomes a challenge. In order to discover patterns and make relevant predictions based on large data sets, researchers and medical professionals must find new methods to analyze and extract relevant health information. Big Data Analytics in Bioinformatics and Healthcare merges the fields of biology, technology, and medicine in order to present a comprehensive study on the emerging information processing applications necessary in the field of electronic medical record management. Complete with interdisciplinary research resources, this publication is an essential reference source for researchers, practitioners, and students interested in the fields of biological computation, database management, and health information technology, with a special focus on the methodologies and tools to manage massive and complex electronic information.

Computational Intelligence and Big Data Analytics

Author : Ch. Satyanarayana
Publisher : Springer
ISBN 13 : 9811305447
Total Pages : 137 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Computational Intelligence and Big Data Analytics by : Ch. Satyanarayana

Download or read book Computational Intelligence and Big Data Analytics written by Ch. Satyanarayana and published by Springer. This book was released on 2018-09-08 with total page 137 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights major issues related to big data analysis using computational intelligence techniques, mostly interdisciplinary in nature. It comprises chapters on computational intelligence technologies, such as neural networks and learning algorithms, evolutionary computation, fuzzy systems and other emerging techniques in data science and big data, ranging from methodologies, theory and algorithms for handling big data, to their applications in bioinformatics and related disciplines. The book describes the latest solutions, scientific results and methods in solving intriguing problems in the fields of big data analytics, intelligent agents and computational intelligence. It reflects the state of the art research in the field and novel applications of new processing techniques in computer science. This book is useful to both doctoral students and researchers from computer science and engineering fields and bioinformatics related domains.

Big Data Analytics

Author : Ümit Demirbaga
Publisher : Springer Nature
ISBN 13 : 3031556399
Total Pages : 299 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis Big Data Analytics by : Ümit Demirbaga

Download or read book Big Data Analytics written by Ümit Demirbaga and published by Springer Nature. This book was released on with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Ethical Issues in AI for Bioinformatics and Chemoinformatics

Author : Yashwant V. Pathak
Publisher : CRC Press
ISBN 13 : 1000996042
Total Pages : 224 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Ethical Issues in AI for Bioinformatics and Chemoinformatics by : Yashwant V. Pathak

Download or read book Ethical Issues in AI for Bioinformatics and Chemoinformatics written by Yashwant V. Pathak and published by CRC Press. This book was released on 2023-11-14 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique volume presents AI in relation to ethical points of view in handling big data sets. Issues such as algorithmic biases, discrimination for specific patterns and privacy breaches may sometimes be skewed to affect research results so that certain fields to appear more appealing to funding agencies. The discussion on the ethics of AI is highly complex due to the involvement of many international stakeholders such as the UN, OECD, parliaments, industry groups, professional bodies, and individual companies. The issue of reliability is addressed including the emergence of synthetic life, 5G networks, intermingling of human artificial intelligence, nano-robots and cyber security tools. Features Discusses artificial intelligence and ethics, the challenges and opportunities Presents the issue of reliability in the emergence of synthetic life, 5G networks, intermingling of human artificial intelligence, nano-robots, and cyber security tools Ethical responsibility and reasoning for using AI in Big Data Addresses practicing medicine and ethical issues when applying artificial intelligence

ADVANCES IN BIOINFORMATICS AND BIG DATA ANALYTICS.

Author : SUJATA. DASH
Publisher :
ISBN 13 : 9789798886973
Total Pages : 0 pages
Book Rating : 4.8/5 (869 download)

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Book Synopsis ADVANCES IN BIOINFORMATICS AND BIG DATA ANALYTICS. by : SUJATA. DASH

Download or read book ADVANCES IN BIOINFORMATICS AND BIG DATA ANALYTICS. written by SUJATA. DASH and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Artificial Intelligence in Bioinformatics and Chemoinformatics

Author : Yashwant Pathak
Publisher : CRC Press
ISBN 13 : 1000952754
Total Pages : 275 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Artificial Intelligence in Bioinformatics and Chemoinformatics by : Yashwant Pathak

Download or read book Artificial Intelligence in Bioinformatics and Chemoinformatics written by Yashwant Pathak and published by CRC Press. This book was released on 2023-10-11 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: The authors aim to shed light on the practicality of using machine learning in finding complex chemoinformatics and bioinformatics applications as well as identifiying AI in biological and chemical data points. The chapters are designed in such a way that they highlight the important role of AI in chemistry and bioinformatics particularly for the classification of diseases, selection of features and compounds, dimensionality reduction and more. In addition, they assist in the organization and optimal use of data points generated from experiments performed using AI techniques. This volume discusses the development of automated tools and techniques to aid in research plans. Features Covers AI applications in bioinformatics and chemoinformatics Demystifies the involvement of AI in generating biological and chemical data Provides an Introduction to basic and advanced chemoinformatics computational tools Presents a chemical biology based toolset for artificial intelligence usage in drug design Discusses computational methods in cancer, genome mapping, and stem cell research

Bioinformatics Tools and Big Data Analytics for Patient Care

Author : Rishabha Malviya
Publisher : CRC Press
ISBN 13 : 9781032129310
Total Pages : 0 pages
Book Rating : 4.1/5 (293 download)

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Book Synopsis Bioinformatics Tools and Big Data Analytics for Patient Care by : Rishabha Malviya

Download or read book Bioinformatics Tools and Big Data Analytics for Patient Care written by Rishabha Malviya and published by CRC Press. This book was released on 2022-08-09 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describe the applications of bioinformatics, data management and computational techniques in clinical studies and drug discovery for patient care. It gives details about the recent developments in the fields of artificial intelligence, cloud computing and data analytics for improved patient care.

Big Data Analytics in Genomics

Author : Ka-Chun Wong
Publisher : Springer
ISBN 13 : 3319412795
Total Pages : 428 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Big Data Analytics in Genomics by : Ka-Chun Wong

Download or read book Big Data Analytics in Genomics written by Ka-Chun Wong and published by Springer. This book was released on 2016-10-24 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: This contributed volume explores the emerging intersection between big data analytics and genomics. Recent sequencing technologies have enabled high-throughput sequencing data generation for genomics resulting in several international projects which have led to massive genomic data accumulation at an unprecedented pace. To reveal novel genomic insights from this data within a reasonable time frame, traditional data analysis methods may not be sufficient or scalable, forcing the need for big data analytics to be developed for genomics. The computational methods addressed in the book are intended to tackle crucial biological questions using big data, and are appropriate for either newcomers or veterans in the field.This volume offers thirteen peer-reviewed contributions, written by international leading experts from different regions, representing Argentina, Brazil, China, France, Germany, Hong Kong, India, Japan, Spain, and the USA. In particular, the book surveys three main areas: statistical analytics, computational analytics, and cancer genome analytics. Sample topics covered include: statistical methods for integrative analysis of genomic data, computation methods for protein function prediction, and perspectives on machine learning techniques in big data mining of cancer. Self-contained and suitable for graduate students, this book is also designed for bioinformaticians, computational biologists, and researchers in communities ranging from genomics, big data, molecular genetics, data mining, biostatistics, biomedical science, cancer research, medical research, and biology to machine learning and computer science. Readers will find this volume to be an essential read for appreciating the role of big data in genomics, making this an invaluable resource for stimulating further research on the topic.

Chemoinformatics and Bioinformatics in the Pharmaceutical Sciences

Author : Navneet Sharma
Publisher : Academic Press
ISBN 13 : 0128217472
Total Pages : 510 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Chemoinformatics and Bioinformatics in the Pharmaceutical Sciences by : Navneet Sharma

Download or read book Chemoinformatics and Bioinformatics in the Pharmaceutical Sciences written by Navneet Sharma and published by Academic Press. This book was released on 2021-05-21 with total page 510 pages. Available in PDF, EPUB and Kindle. Book excerpt: Chemoinformatics and Bioinformatics in the Pharmaceutical Sciences brings together two very important fields in pharmaceutical sciences that have been mostly seen as diverging from each other: chemoinformatics and bioinformatics. As developing drugs is an expensive and lengthy process, technology can improve the cost, efficiency and speed at which new drugs can be discovered and tested. This book presents some of the growing advancements of technology in the field of drug development and how the computational approaches explained here can reduce the financial and experimental burden of the drug discovery process. This book will be useful to pharmaceutical science researchers and students who need basic knowledge of computational techniques relevant to their projects. Bioscientists, bioinformaticians, computational scientists, and other stakeholders from industry and academia will also find this book helpful. Provides practical information on how to choose and use appropriate computational tools Presents the wide, intersecting fields of chemo-bio-informatics in an easily-accessible format Explores the fundamentals of the emerging field of chemoinformatics and bioinformatics

Big Data Analysis for Bioinformatics and Biomedical Discoveries

Author : Shui Qing Ye
Publisher : CRC Press
ISBN 13 : 149872454X
Total Pages : 274 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Big Data Analysis for Bioinformatics and Biomedical Discoveries by : Shui Qing Ye

Download or read book Big Data Analysis for Bioinformatics and Biomedical Discoveries written by Shui Qing Ye and published by CRC Press. This book was released on 2016-01-13 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: Demystifies Biomedical and Biological Big Data Analyses Big Data Analysis for Bioinformatics and Biomedical Discoveries provides a practical guide to the nuts and bolts of Big Data, enabling you to quickly and effectively harness the power of Big Data to make groundbreaking biological discoveries, carry out translational medical research, and implement personalized genomic medicine. Contributing to the NIH Big Data to Knowledge (BD2K) initiative, the book enhances your computational and quantitative skills so that you can exploit the Big Data being generated in the current omics era. The book explores many significant topics of Big Data analyses in an easily understandable format. It describes popular tools and software for Big Data analyses and explains next-generation DNA sequencing data analyses. It also discusses comprehensive Big Data analyses of several major areas, including the integration of omics data, pharmacogenomics, electronic health record data, and drug discovery. Accessible to biologists, biomedical scientists, bioinformaticians, and computer data analysts, the book keeps complex mathematical deductions and jargon to a minimum. Each chapter includes a theoretical introduction, example applications, data analysis principles, step-by-step tutorials, and authoritative references.

Applying Big Data Analytics in Bioinformatics and Medicine

Author : Lytras, Miltiadis D.
Publisher : IGI Global
ISBN 13 : 1522526080
Total Pages : 465 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Applying Big Data Analytics in Bioinformatics and Medicine by : Lytras, Miltiadis D.

Download or read book Applying Big Data Analytics in Bioinformatics and Medicine written by Lytras, Miltiadis D. and published by IGI Global. This book was released on 2017-06-16 with total page 465 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many aspects of modern life have become personalized, yet healthcare practices have been lagging behind in this trend. It is now becoming more common to use big data analysis to improve current healthcare and medicinal systems, and offer better health services to all citizens. Applying Big Data Analytics in Bioinformatics and Medicine is a comprehensive reference source that overviews the current state of medical treatments and systems and offers emerging solutions for a more personalized approach to the healthcare field. Featuring coverage on relevant topics that include smart data, proteomics, medical data storage, and drug design, this publication is an ideal resource for medical professionals, healthcare practitioners, academicians, and researchers interested in the latest trends and techniques in personalized medicine.

Computational Phytochemistry

Author : Satyajit Dey Sarker
Publisher : Elsevier
ISBN 13 : 0443161038
Total Pages : 532 pages
Book Rating : 4.4/5 (431 download)

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Book Synopsis Computational Phytochemistry by : Satyajit Dey Sarker

Download or read book Computational Phytochemistry written by Satyajit Dey Sarker and published by Elsevier. This book was released on 2024-03-15 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Phytochemistry, Second Edition, explores how recent advances in computational techniques and methods have been embraced by phytochemical researchers to enhance many of their operations, refocusing and expanding the possibilities of phytochemical studies. By applying computational aids and mathematical models to extraction, isolation, structure determination, and bioactivity testing, researchers can obtain highly detailed information about phytochemicals and optimize working approaches. This book aims to support and encourage researchers currently working with or looking to incorporate computational methods into their phytochemical work. Topics in this book include computational methods for predicting medicinal properties, optimizing extraction, isolating plant secondary metabolites, and building dereplicated phytochemical libraries. The roles of high-throughput screening, spectral data for structural prediction, plant metabolomics, and biosynthesis are all reviewed before the application of computational aids for assessing bioactivities and virtual screening is discussed. Illustrated with detailed figures and supported by practical examples, this book is an indispensable guide for all those involved with the identification, extraction, and application of active agents from natural products. This new edition captures remarkable advancements in mathematical modeling and computational methods that have been incorporated in phytochemical research, addressing, e.g., extraction, isolation, structure determination, and bioactivity testing of phytochemicals. Includes step-by-step protocols for various computational and mathematical approaches applied to phytochemical research Features clearly illustrated chapters contributed by highly reputable researchers Covers all key areas in phytochemical research, including virtual screening and metabolomics

Advances in Computational Intelligence for the Healthcare Industry 4.0

Author : Shah, Imdad Ali
Publisher : IGI Global
ISBN 13 :
Total Pages : 389 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Advances in Computational Intelligence for the Healthcare Industry 4.0 by : Shah, Imdad Ali

Download or read book Advances in Computational Intelligence for the Healthcare Industry 4.0 written by Shah, Imdad Ali and published by IGI Global. This book was released on 2024-04-26 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the dynamic environment of healthcare, the fusion of Computational Intelligence and Healthcare Industry 4.0 has enabled remarkable advancements in disease detection and analysis. However, a critical challenge persists – the limitations of current computational intelligence approaches in dealing with small sample sizes. This setback hampers the performance of these innovative models, hindering their potential impact on medical applications. As we stand at the crossroads of technological innovation and healthcare evolution, the need for a solution becomes paramount. Advances in Computational Intelligence for the Healthcare Industry 4.0 is a comprehensive guide addressing the very heart of this challenge. Designed for academics, researchers, healthcare professionals, and stakeholders in Healthcare Industry 4.0, this book serves as a source of innovation. It not only illuminates the complexities of computational intelligence in healthcare but also provides a roadmap for overcoming the limitations posed by small sample sizes. From fundamental principles to innovative concepts, this book offers a holistic perspective, shaping the future of healthcare through the lens of computational intelligence and Healthcare Industry 4.0.

Encyclopedia of Bioinformatics and Computational Biology

Author :
Publisher : Elsevier
ISBN 13 : 0128114320
Total Pages : 3421 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Encyclopedia of Bioinformatics and Computational Biology by :

Download or read book Encyclopedia of Bioinformatics and Computational Biology written by and published by Elsevier. This book was released on 2018-08-21 with total page 3421 pages. Available in PDF, EPUB and Kindle. Book excerpt: Encyclopedia of Bioinformatics and Computational Biology: ABC of Bioinformatics, Three Volume Set combines elements of computer science, information technology, mathematics, statistics and biotechnology, providing the methodology and in silico solutions to mine biological data and processes. The book covers Theory, Topics and Applications, with a special focus on Integrative –omics and Systems Biology. The theoretical, methodological underpinnings of BCB, including phylogeny are covered, as are more current areas of focus, such as translational bioinformatics, cheminformatics, and environmental informatics. Finally, Applications provide guidance for commonly asked questions. This major reference work spans basic and cutting-edge methodologies authored by leaders in the field, providing an invaluable resource for students, scientists, professionals in research institutes, and a broad swath of researchers in biotechnology and the biomedical and pharmaceutical industries. Brings together information from computer science, information technology, mathematics, statistics and biotechnology Written and reviewed by leading experts in the field, providing a unique and authoritative resource Focuses on the main theoretical and methodological concepts before expanding on specific topics and applications Includes interactive images, multimedia tools and crosslinking to further resources and databases

Data Analytics in Bioinformatics

Author : Rabinarayan Satpathy
Publisher : John Wiley & Sons
ISBN 13 : 1119785618
Total Pages : 544 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Data Analytics in Bioinformatics by : Rabinarayan Satpathy

Download or read book Data Analytics in Bioinformatics written by Rabinarayan Satpathy and published by John Wiley & Sons. This book was released on 2021-01-20 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning techniques are increasingly being used to address problems in computational biology and bioinformatics. Novel machine learning computational techniques to analyze high throughput data in the form of sequences, gene and protein expressions, pathways, and images are becoming vital for understanding diseases and future drug discovery. Machine learning techniques such as Markov models, support vector machines, neural networks, and graphical models have been successful in analyzing life science data because of their capabilities in handling randomness and uncertainty of data noise and in generalization. Machine Learning in Bioinformatics compiles recent approaches in machine learning methods and their applications in addressing contemporary problems in bioinformatics approximating classification and prediction of disease, feature selection, dimensionality reduction, gene selection and classification of microarray data and many more.

Big Data in Predictive Toxicology

Author : Daniel Neagu
Publisher : Royal Society of Chemistry
ISBN 13 : 1839160829
Total Pages : 289 pages
Book Rating : 4.8/5 (391 download)

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Book Synopsis Big Data in Predictive Toxicology by : Daniel Neagu

Download or read book Big Data in Predictive Toxicology written by Daniel Neagu and published by Royal Society of Chemistry. This book was released on 2019-12-04 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: The rate at which toxicological data is generated is continually becoming more rapid and the volume of data generated is growing dramatically. This is due in part to advances in software solutions and cheminformatics approaches which increase the availability of open data from chemical, biological and toxicological and high throughput screening resources. However, the amplified pace and capacity of data generation achieved by these novel techniques presents challenges for organising and analysing data output. Big Data in Predictive Toxicology discusses these challenges as well as the opportunities of new techniques encountered in data science. It addresses the nature of toxicological big data, their storage, analysis and interpretation. It also details how these data can be applied in toxicity prediction, modelling and risk assessment. This title is of particular relevance to researchers and postgraduates working and studying in the fields of computational methods, applied and physical chemistry, cheminformatics, biological sciences, predictive toxicology and safety and hazard assessment.