Statistical Methods For Expression Quantitative Trait Loci Eqtl Mapping

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eQTL Analysis

Author : Xinghua Mindy Shi
Publisher : Humana
ISBN 13 : 9781071600283
Total Pages : 252 pages
Book Rating : 4.6/5 (2 download)

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Book Synopsis eQTL Analysis by : Xinghua Mindy Shi

Download or read book eQTL Analysis written by Xinghua Mindy Shi and published by Humana. This book was released on 2021-01-02 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume details state-of-art eQTL analysis, where interdisciplinary researchers are provided both theoretical and practical guidance to eQTL analysis and interpretation. Chapters guide readers through methods and tools for eQTL and QTL analysis and the usage of such analysis in various scenarios. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, eQTL Analysis: Methods and Protocols to ensure successful results in the further study of this vital field.

Statistical Methods for QTL Mapping

Author : Zehua Chen
Publisher : CRC Press
ISBN 13 : 143986831X
Total Pages : 308 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Statistical Methods for QTL Mapping by : Zehua Chen

Download or read book Statistical Methods for QTL Mapping written by Zehua Chen and published by CRC Press. This book was released on 2016-04-19 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: While numerous advanced statistical approaches have recently been developed for quantitative trait loci (QTL) mapping, the methods are scattered throughout the literature. Statistical Methods for QTL Mapping brings together many recent statistical techniques that address the data complexity of QTL mapping. After introducing basic genetics topics an

Epigenetics in Psychiatry

Author : Jacob Peedicayil
Publisher : Academic Press
ISBN 13 : 0128235780
Total Pages : 848 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Epigenetics in Psychiatry by : Jacob Peedicayil

Download or read book Epigenetics in Psychiatry written by Jacob Peedicayil and published by Academic Press. This book was released on 2021-08-21 with total page 848 pages. Available in PDF, EPUB and Kindle. Book excerpt: Epigenetics in Psychiatry, Second Edition covers all major areas of psychiatry in which extensive epigenetic research has been performed, fully encompassing a diverse and maturing field, including drug addiction, bipolar disorder, epidemiology, cognitive disorders, and the uses of putative epigenetic-based psychotropic drugs. Uniquely, each chapter correlates epigenetics with relevant advances across genomics, transcriptomics, and proteomics. The book acts as a catalyst for further research in this growing area of psychiatry. This new edition has been fully revised to address recent advances in epigenetic understanding of psychiatric disorders, evoking data consortia (e.g., CommonMind, ATAC-seq), single cell analysis, and epigenome-wide association studies to empower new research. The book also examines epigenetic effects of the microbiome on psychiatric disorders, and the use of neuroimaging in studying the role of epigenetic mechanisms of gene expression. Ongoing advances in epigenetic therapy are explored in-depth. - Fully revised to discuss new areas of research across neuronal stem cells, cognitive disorders, and transgenerational epigenetics in psychiatric disease - Relates broad advances in psychiatric epigenetics to a modern understanding of the genome, transcriptome, and proteins - Catalyzes knowledge discovery in both basic epigenetic biology and epigenetic targets for drug discovery - Provides guidance in research methods and protocols, as well how to employ data from consortia, single cell analysis, and epigenome-wide association studies (EWAS) - Features chapter contributions from international leaders in the field

Statistical Methods for Expression Quantitative Trait Loci (EQTL) Mapping

Author : Meng Chen
Publisher :
ISBN 13 :
Total Pages : 164 pages
Book Rating : 4.:/5 (89 download)

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Book Synopsis Statistical Methods for Expression Quantitative Trait Loci (EQTL) Mapping by : Meng Chen

Download or read book Statistical Methods for Expression Quantitative Trait Loci (EQTL) Mapping written by Meng Chen and published by . This book was released on 2006 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Systems Genetics

Author : Klaus Schughart
Publisher : Humana
ISBN 13 : 9781493964253
Total Pages : 0 pages
Book Rating : 4.9/5 (642 download)

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Book Synopsis Systems Genetics by : Klaus Schughart

Download or read book Systems Genetics written by Klaus Schughart and published by Humana. This book was released on 2016-12-08 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume focuses on the use of system genetic methods and the use of murine models to study the role of gene variants and environmental factors on human health and disease—what is now often called personalized or precision health care. The protocols in this book will help readers analyze genetic causes of heritable variation across a wide range of systems and traits using rodent models. The chapters in this book are separated into three sections that cover: 1) resources for systems genetics; 2) tools for analysis and integration in systems genetics; and 3) systems genetics use cases. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and tools, step-by-step, readily reproducible protocols, and tips on troubleshooting and avoiding known pitfalls. Practical and thorough, Systems Genetics: Methods and Protocols is a valuable resource for anyone who is interested in this diverse field.

Frontiers in Computational and Systems Biology

Author : Jianfeng Feng
Publisher : Springer Science & Business Media
ISBN 13 : 1849961964
Total Pages : 411 pages
Book Rating : 4.8/5 (499 download)

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Book Synopsis Frontiers in Computational and Systems Biology by : Jianfeng Feng

Download or read book Frontiers in Computational and Systems Biology written by Jianfeng Feng and published by Springer Science & Business Media. This book was released on 2010-06-14 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biological and biomedical studies have entered a new era over the past two decades thanks to the wide use of mathematical models and computational approaches. A booming of computational biology, which sheerly was a theoretician’s fantasy twenty years ago, has become a reality. Obsession with computational biology and theoretical approaches is evidenced in articles hailing the arrival of what are va- ously called quantitative biology, bioinformatics, theoretical biology, and systems biology. New technologies and data resources in genetics, such as the International HapMap project, enable large-scale studies, such as genome-wide association st- ies, which could potentially identify most common genetic variants as well as rare variants of the human DNA that may alter individual’s susceptibility to disease and the response to medical treatment. Meanwhile the multi-electrode recording from behaving animals makes it feasible to control the animal mental activity, which could potentially lead to the development of useful brain–machine interfaces. - bracing the sheer volume of genetic, genomic, and other type of data, an essential approach is, ?rst of all, to avoid drowning the true signal in the data. It has been witnessed that theoretical approach to biology has emerged as a powerful and st- ulating research paradigm in biological studies, which in turn leads to a new - search paradigm in mathematics, physics, and computer science and moves forward with the interplays among experimental studies and outcomes, simulation studies, and theoretical investigations.

Molecular-Genetic and Statistical Techniques for Behavioral and Neural Research

Author : Robert T. Gerlai
Publisher : Academic Press
ISBN 13 : 0128041161
Total Pages : 710 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Molecular-Genetic and Statistical Techniques for Behavioral and Neural Research by : Robert T. Gerlai

Download or read book Molecular-Genetic and Statistical Techniques for Behavioral and Neural Research written by Robert T. Gerlai and published by Academic Press. This book was released on 2018-04-24 with total page 710 pages. Available in PDF, EPUB and Kindle. Book excerpt: Molecular-Genetic and Statistical Techniques for Behavioral and Neural Research presents the most exciting molecular and recombinant DNA techniques used in the analysis of brain function and behavior, a critical piece of the puzzle for clinicians, scientists, course instructors and advanced undergraduate and graduate students. Chapters examine neuroinformatics, genetic and neurobehavioral databases and data mining, also providing an analysis of natural genetic variation and principles and applications of forward (mutagenesis) and reverse genetics (gene targeting). In addition, the book discusses gene expression and its role in brain function and behavior, along with ethical issues in the use of animals in genetics testing. Written and edited by leading international experts, this book provides a clear presentation of the frontiers of basic research as well as translationally relevant techniques that are used by neurobehavioral geneticists. - Focuses on new techniques, including electrocorticography, functional mapping, stereo EEG, motor evoked potentials, optical coherence tomography, magnetoencephalography, laser evoked potentials, transmagnetic stimulation, and motor evoked potentials - Presents the most exciting molecular and recombinant DNA techniques used in the analysis of brain function and behavior - Written and edited by leading international experts

High-dimensional Data Analysis

Author : Tony Cai;Xiaotong Shen
Publisher :
ISBN 13 : 9787894236326
Total Pages : 318 pages
Book Rating : 4.2/5 (363 download)

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Book Synopsis High-dimensional Data Analysis by : Tony Cai;Xiaotong Shen

Download or read book High-dimensional Data Analysis written by Tony Cai;Xiaotong Shen and published by . This book was released on with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the last few years, significant developments have been taking place in highdimensional data analysis, driven primarily by a wide range of applications in many fields such as genomics and signal processing. In particular, substantial advances have been made in the areas of feature selection, covariance estimation, classification and regression. This book intends to examine important issues arising from highdimensional data analysis to explore key ideas for statistical inference and prediction. It is structured around topics on multiple hypothesis testing, feature selection, regression, cla.

Genome-Wide Association Studies

Author : Krishnarao Appasani
Publisher : Cambridge University Press
ISBN 13 : 1107042763
Total Pages : 449 pages
Book Rating : 4.1/5 (7 download)

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Book Synopsis Genome-Wide Association Studies by : Krishnarao Appasani

Download or read book Genome-Wide Association Studies written by Krishnarao Appasani and published by Cambridge University Press. This book was released on 2016-01-14 with total page 449 pages. Available in PDF, EPUB and Kindle. Book excerpt: Experts from academia and industry highlight the potential of genome-wide association studies from basic science to clinical and biotechnological/pharmaceutical applications.

Medical Epigenetics

Author : Trygve Tollefsbol
Publisher : Academic Press
ISBN 13 : 0128032405
Total Pages : 944 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Medical Epigenetics by : Trygve Tollefsbol

Download or read book Medical Epigenetics written by Trygve Tollefsbol and published by Academic Press. This book was released on 2016-06-21 with total page 944 pages. Available in PDF, EPUB and Kindle. Book excerpt: Medical Epigenetics provides a comprehensive analysis of the importance of epigenetics to health management. The purpose of this book is to fill a current need for a comprehensive volume on the medical aspects of epigenetics with a focus on human systems, epigenetic diseases that affect these systems and modes of treating epigenetic-based disorders and diseases. The intent of this book is to provide a stand-alone comprehensive volume that will cover all human systems relevant to epigenetic maladies and all major aspects of medical epigenetics. The overall goal is to provide the leading book on medical epigenetics that will be useful not only to physicians, nurses, medical students and many others directly involved with health care, but also investigators in life sciences, biotech companies, graduate students and many others who are interested in more applied aspects of epigenetics. Research in the area of translational epigenetics is a cornerstone of this volume. Critical reviews dedicated to the burgeoning role of epigenetics in medical practice Coverage of emerging topics including twin epigenetics as well as epigenetics of gastrointestinal disease, muscle disorders, endocrine disorders, ocular medicine, pediatric diseases, sports medicine, noncoding RNA therapeutics, pain management and regenerative medicine Encompasses a disease-oriented perspective of medical epigenetics as well as diagnostic and prognostic epigenetic approaches to applied medicine

Genetics and Analysis of Quantitative Traits

Author : Michael Lynch
Publisher : Sinauer Associates Incorporated
ISBN 13 : 9780878934812
Total Pages : 980 pages
Book Rating : 4.9/5 (348 download)

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Book Synopsis Genetics and Analysis of Quantitative Traits by : Michael Lynch

Download or read book Genetics and Analysis of Quantitative Traits written by Michael Lynch and published by Sinauer Associates Incorporated. This book was released on 1998-01 with total page 980 pages. Available in PDF, EPUB and Kindle. Book excerpt: Professors Lynch and Walsh bring together the diverse array of theoretical and empirical applications of quantitative genetics in a work that is comprehensive and accessible to anyone with a rudimentary understanding of statistics and genetics.

Long-Range Control of Gene Expression

Author : Veronica van Heyningen
Publisher : Academic Press
ISBN 13 : 0080877818
Total Pages : 415 pages
Book Rating : 4.0/5 (88 download)

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Book Synopsis Long-Range Control of Gene Expression by : Veronica van Heyningen

Download or read book Long-Range Control of Gene Expression written by Veronica van Heyningen and published by Academic Press. This book was released on 2011-09-02 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: Long-Range Control of Gene Expression covers the current progress in understanding the mechanisms for genomic control of gene expression, which has grown considerably in the last few years as insight into genome organization and chromatin regulation has advanced. Discusses the evolution of cis-regulatory sequences in drosophila Includes information on genomic imprinting and imprinting defects in humans Includes a chapter on epigenetic gene regulation in cancer

A Guide to QTL Mapping with R/qtl

Author : Karl W. Broman
Publisher : Springer
ISBN 13 : 9781461417088
Total Pages : 400 pages
Book Rating : 4.4/5 (17 download)

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Book Synopsis A Guide to QTL Mapping with R/qtl by : Karl W. Broman

Download or read book A Guide to QTL Mapping with R/qtl written by Karl W. Broman and published by Springer. This book was released on 2011-12-02 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Comprehensive discussion of QTL mapping concepts and theory Detailed instructions on the use of the R/qtl software, the most featured and flexible software for QTL mapping Two case studies illustrate QTL analysis in its entirety

Handbook of Statistical Genetics

Author : David J. Balding
Publisher : John Wiley & Sons
ISBN 13 : 9780470997628
Total Pages : 1616 pages
Book Rating : 4.9/5 (976 download)

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Book Synopsis Handbook of Statistical Genetics by : David J. Balding

Download or read book Handbook of Statistical Genetics written by David J. Balding and published by John Wiley & Sons. This book was released on 2008-06-10 with total page 1616 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook for Statistical Genetics is widely regarded as the reference work in the field. However, the field has developed considerably over the past three years. In particular the modeling of genetic networks has advanced considerably via the evolution of microarray analysis. As a consequence the 3rd edition of the handbook contains a much expanded section on Network Modeling, including 5 new chapters covering metabolic networks, graphical modeling and inference and simulation of pedigrees and genealogies. Other chapters new to the 3rd edition include Human Population Genetics, Genome-wide Association Studies, Family-based Association Studies, Pharmacogenetics, Epigenetics, Ethic and Insurance. As with the second Edition, the Handbook includes a glossary of terms, acronyms and abbreviations, and features extensive cross-referencing between the chapters, tying the different areas together. With heavy use of up-to-date examples, real-life case studies and references to web-based resources, this continues to be must-have reference in a vital area of research. Edited by the leading international authorities in the field. David Balding - Department of Epidemiology & Public Health, Imperial College An advisor for our Probability & Statistics series, Professor Balding is also a previous Wiley author, having written Weight-of-Evidence for Forensic DNA Profiles, as well as having edited the two previous editions of HSG. With over 20 years teaching experience, he’s also had dozens of articles published in numerous international journals. Martin Bishop – Head of the Bioinformatics Division at the HGMP Resource Centre As well as the first two editions of HSG, Dr Bishop has edited a number of introductory books on the application of informatics to molecular biology and genetics. He is the Associate Editor of the journal Bioinformatics and Managing Editor of Briefings in Bioinformatics. Chris Cannings – Division of Genomic Medicine, University of Sheffield With over 40 years teaching in the area, Professor Cannings has published over 100 papers and is on the editorial board of many related journals. Co-editor of the two previous editions of HSG, he also authored a book on this topic.

Big Data Analytics in Genomics

Author : Ka-Chun Wong
Publisher : Springer
ISBN 13 : 3319412795
Total Pages : 426 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 426 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.

Handbook of Pharmacogenomics and Stratified Medicine

Author : Sandosh Padmanabhan
Publisher : Academic Press
ISBN 13 : 0123868831
Total Pages : 1119 pages
Book Rating : 4.1/5 (238 download)

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Book Synopsis Handbook of Pharmacogenomics and Stratified Medicine by : Sandosh Padmanabhan

Download or read book Handbook of Pharmacogenomics and Stratified Medicine written by Sandosh Padmanabhan and published by Academic Press. This book was released on 2014-04-28 with total page 1119 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handbook of Pharmacogenomics and Stratified Medicine is a comprehensive resource to understand this rapidly advancing field aiming to deliver the right drug at the right dose to the right patient at the right time. It is designed to provide a detailed, but accessible review of the entire field from basic principles to applications in various diseases. The chapters are written by international experts to allow readers from a wide variety of backgrounds, clinical and non-clinical (basic geneticists, pharmacologists, clinicians, trialists, industry personnel, ethicists) to understand the principles underpinning the progress in this area, the successes, failures and the challenges ahead. To be accessible to the widest range of readers, the clinical application section introduces the disease process, existing therapies, followed by pharmacogenomics and stratified medicine details.Medicine is the cornerstone of modern therapeutics prescribed on the basis that its benefit should outweigh its risk. It is well known that people respond differently to medications and in many cases the risk-benefit ratio for a particular drug may be a gray area. The last decade has seen a revolution in genomics both in terms of technological innovation and discovering genetic markers associated with disease. In parallel there has been steady progress in trying to make medicines safer and tailored to the individual. This has occurred across the whole spectrum of medicine, some more than others. In addition there is burgeoning interest from the pharmaceutical industry to leverage pharmacogenomics for more effective and efficient clinical drug development. - Provides clinical and non-clinical researchers with practical information normally beyond their usual areas of research or expertise - Includes an basic principles section explaining concepts of basic genetics, genetic epidemiology, bioinformatics, pharmacokinetics and pharmacodynamics - Covers newer technologies– next generation sequencing, proteomics, metabolomics - Provides information on animal models, lymphoblastoid cell lines, stem cells - Provides detailed chapters on a wide range of disease conditions, implementation and regulatory issues - Includes chapters on the global implications of pharmacogenomics

Statistical Foundations of Data Science

Author : Jianqing Fan
Publisher : CRC Press
ISBN 13 : 0429527616
Total Pages : 942 pages
Book Rating : 4.4/5 (295 download)

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Book Synopsis Statistical Foundations of Data Science by : Jianqing Fan

Download or read book Statistical Foundations of Data Science written by Jianqing Fan and published by CRC Press. This book was released on 2020-09-21 with total page 942 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Foundations of Data Science gives a thorough introduction to commonly used statistical models, contemporary statistical machine learning techniques and algorithms, along with their mathematical insights and statistical theories. It aims to serve as a graduate-level textbook and a research monograph on high-dimensional statistics, sparsity and covariance learning, machine learning, and statistical inference. It includes ample exercises that involve both theoretical studies as well as empirical applications. The book begins with an introduction to the stylized features of big data and their impacts on statistical analysis. It then introduces multiple linear regression and expands the techniques of model building via nonparametric regression and kernel tricks. It provides a comprehensive account on sparsity explorations and model selections for multiple regression, generalized linear models, quantile regression, robust regression, hazards regression, among others. High-dimensional inference is also thoroughly addressed and so is feature screening. The book also provides a comprehensive account on high-dimensional covariance estimation, learning latent factors and hidden structures, as well as their applications to statistical estimation, inference, prediction and machine learning problems. It also introduces thoroughly statistical machine learning theory and methods for classification, clustering, and prediction. These include CART, random forests, boosting, support vector machines, clustering algorithms, sparse PCA, and deep learning.