Integrative Cluster Analysis In Bioinformatics
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Integrative Cluster Analysis In Bioinformatics
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Author : Basel Abu-Jamous
language : en
Publisher: John Wiley & Sons
Release Date : 2015-04-27
Integrative Cluster Analysis In Bioinformatics written by Basel Abu-Jamous and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-04-27 with Technology & Engineering categories.
Clustering techniques are increasingly being put to use in the analysis of high-throughput biological datasets. Novel computational techniques to analyse 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. This book details the complete pathway of cluster analysis, from the basics of molecular biology to the generation of biological knowledge. The book also presents the latest clustering methods and clustering validation, thereby offering the reader a comprehensive review of clustering analysis in bioinformatics from the fundamentals through to state-of-the-art techniques and applications. Key Features: Offers a contemporary review of clustering methods and applications in the field of bioinformatics, with particular emphasis on gene expression analysis Provides an excellent introduction to molecular biology with computer scientists and information engineering researchers in mind, laying out the basic biological knowledge behind the application of clustering analysis techniques in bioinformatics Explains the structure and properties of many types of high-throughput datasets commonly found in biological studies Discusses how clustering methods and their possible successors would be used to enhance the pace of biological discoveries in the future Includes a companion website hosting a selected collection of codes and links to publicly available datasets
Integrative Cluster Analysis In Bioinformatics
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Author : Basel Abu Jamous
language : en
Publisher:
Release Date : 2015
Integrative Cluster Analysis In Bioinformatics written by Basel Abu Jamous and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with MATHEMATICS categories.
Integrative Cluster Analysis In Bioinformatics
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Author : Basel Abu-Jamous
language : en
Publisher: John Wiley & Sons
Release Date : 2015-06-15
Integrative Cluster Analysis In Bioinformatics written by Basel Abu-Jamous and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-06-15 with Technology & Engineering categories.
Clustering techniques are increasingly being put to use in the analysis of high-throughput biological datasets. Novel computational techniques to analyse 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. This book details the complete pathway of cluster analysis, from the basics of molecular biology to the generation of biological knowledge. The book also presents the latest clustering methods and clustering validation, thereby offering the reader a comprehensive review of clustering analysis in bioinformatics from the fundamentals through to state-of-the-art techniques and applications. Key Features: Offers a contemporary review of clustering methods and applications in the field of bioinformatics, with particular emphasis on gene expression analysis Provides an excellent introduction to molecular biology with computer scientists and information engineering researchers in mind, laying out the basic biological knowledge behind the application of clustering analysis techniques in bioinformatics Explains the structure and properties of many types of high-throughput datasets commonly found in biological studies Discusses how clustering methods and their possible successors would be used to enhance the pace of biological discoveries in the future Includes a companion website hosting a selected collection of codes and links to publicly available datasets
Clustering Challenges In Biological Networks
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Author : W Art Chaovalitwongse
language : en
Publisher: World Scientific
Release Date : 2009-02-11
Clustering Challenges In Biological Networks written by W Art Chaovalitwongse and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-02-11 with Science categories.
This volume presents a collection of papers dealing with various aspects of clustering in biological networks and other related problems in computational biology. It consists of two parts, with the first part containing surveys of selected topics and the second part presenting original research contributions. This book will be a valuable source of material to faculty, students, and researchers in mathematical programming, data analysis and data mining, as well as people working in bioinformatics, computer science, engineering, and applied mathematics. In addition, the book can be used as a supplement to any course in data mining or computational/systems biology.
Particle Monte Carlo Methods For The Integrative Cluster Analysis Of Multiple Genomic Datasets
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Author : Nathan Cunningham
language : en
Publisher:
Release Date : 2019
Particle Monte Carlo Methods For The Integrative Cluster Analysis Of Multiple Genomic Datasets written by Nathan Cunningham and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.
Clustering In Bioinformatics And Drug Discovery
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Author : John David MacCuish
language : en
Publisher: CRC Press
Release Date : 2010-11-15
Clustering In Bioinformatics And Drug Discovery written by John David MacCuish and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-11-15 with Computers categories.
With a DVD of color figures, Clustering in Bioinformatics and Drug Discovery provides an expert guide on extracting the most pertinent information from pharmaceutical and biomedical data. It offers a concise overview of common and recent clustering methods used in bioinformatics and drug discovery.Setting the stage for subsequent material, the firs
Computational Methods With Applications In Bioinformatics Analysis
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Author : Tsai Jeffrey J P
language : en
Publisher: World Scientific
Release Date : 2017-06-09
Computational Methods With Applications In Bioinformatics Analysis written by Tsai Jeffrey J P and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-09 with Computers categories.
This compendium contains 10 chapters written by world renowned researchers with expertise in semantic computing, genome sequence analysis, biomolecular interaction, time-series microarray analysis, and machine learning algorithms. The salient feature of this book is that it highlights eight types of computational techniques to tackle different biomedical applications. These techniques include unsupervised learning algorithms, principal component analysis, fuzzy integral, graph-based ensemble clustering method, semantic analysis, interolog approach, molecular simulations and enzyme kinetics. The unique volume will be a useful reference material and an inspirational read for advanced undergraduate and graduate students, computer scientists, computational biologists, bioinformatics and biomedical professionals.
The Analysis Of Gene Expression Data
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Author : Giovanni Parmigiani
language : en
Publisher: Springer Science & Business Media
Release Date : 2003-04-08
The Analysis Of Gene Expression Data written by Giovanni Parmigiani and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-04-08 with Medical categories.
This book presents practical approaches for the analysis of data from gene expression micro-arrays. It describes the conceptual and methodological underpinning for a statistical tool and its implementation in software. The book includes coverage of various packages that are part of the Bioconductor project and several related R tools. The materials presented cover a range of software tools designed for varied audiences.
Multimodal And Integrative Analysis Of Single Cell Or Bulk Sequencing Data
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Author : Geng Chen
language : en
Publisher: Frontiers Media SA
Release Date : 2021-04-07
Multimodal And Integrative Analysis Of Single Cell Or Bulk Sequencing Data written by Geng Chen and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-07 with Science categories.
Genome Data Analysis
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Author : Ju Han Kim
language : en
Publisher: Springer
Release Date : 2019-04-30
Genome Data Analysis written by Ju Han Kim and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-30 with Science categories.
This textbook describes recent advances in genomics and bioinformatics and provides numerous examples of genome data analysis that illustrate its relevance to real world problems and will improve the reader’s bioinformatics skills. Basic data preprocessing with normalization and filtering, primary pattern analysis, and machine learning algorithms using R and Python are demonstrated for gene-expression microarrays, genotyping microarrays, next-generation sequencing data, epigenomic data, and biological network and semantic analyses. In addition, detailed attention is devoted to integrative genomic data analysis, including multivariate data projection, gene-metabolic pathway mapping, automated biomolecular annotation, text mining of factual and literature databases, and integrated management of biomolecular databases. The textbook is primarily intended for life scientists, medical scientists, statisticians, data processing researchers, engineers, and other beginners in bioinformatics who are experiencing difficulty in approaching the field. However, it will also serve as a simple guideline for experts unfamiliar with the new, developing subfield of genomic analysis within bioinformatics.