(Ilmumisaeg: 18-Feb-2020, Paperback / softback, Kirjastus: MIT Press, ISBN-13: 9780262538381)
A comprehensive introduction to modern applied statistical genetic data analysis, accessible to those without a background in molecular biology or genetics.Human genetic research is now relevant beyond biology, epidemiology, and the...Loe edasi...
(Ilmumisaeg: 17-Mar-2024, Paperback / softback, Kirjastus: Springer-Verlag New York Inc., ISBN-13: 9781071629888)
This volume provides a collection of protocols from researchers in the statistical genomics field. Chapters focus on integrating genomics with other “omics” data, such as transcriptomics, epigenomics, proteomics, metabolomics, and metagenomics. Wr...Loe edasi...
(Ilmumisaeg: 30-Sep-2023, Hardback, Kirjastus: Apple Academic Press Inc., ISBN-13: 9781482225723)
This is a cohesive and comprehensive book on statistical omics from a biopharmaceutical perspective which focuses on presenting statistical methods, including false discovery rate for analyzing omics data in biomedical research. It is enriched wit...Loe edasi...
The aim of this textbook is to train new researchers in analyzing high-throughput omics data by building fundamental skills instead of focusing on technology or platform-specific features that change every few years. The authors seek a balance bet...Loe edasi...
(Ilmumisaeg: 17-Mar-2023, Hardback, Kirjastus: Springer-Verlag New York Inc., ISBN-13: 9781071629857)
This volume provides a collection of protocols from researchers in the statistical genomics field. Chapters focus on integrating genomics with other “omics” data, such as transcriptomics, epigenomics, proteomics, metabolomics, and metagenomics. Wr...Loe edasi...
The objective is to prepare students and scientists to analyze genomics data using empirical Bayes methods and to critically evaluate the statistical methods appearing in genomics articles. That is accomplished by providing the information needed...Loe edasi...
Big Data in Omics and Imaging: Integrated Analysis and Causal Inference addresses the recent development of integrated genomic, epigenomic and imaging data analysis and causal inference in big data era. Despite significant progres...Loe edasi...
(Ilmumisaeg: 18-Feb-2020, Paperback / softback, Kirjastus: MIT Press, ISBN-13: 9780262538381)
A comprehensive introduction to modern applied statistical genetic data analysis, accessible to those without a background in molecular biology or genetics.Human genetic research is now relevant beyond biology, epidemiology, and the...Loe edasi...
Genomics, the mapping of the entire genetic complement of an organism, is the new frontier in biology. This handbook on the statistical issues of genomics covers current methods and the tried-and-true classical approaches....Loe edasi...
Statisticians have met the need to test hundreds or thousands of genomics hypotheses simultaneously with novel empirical Bayes methods that combine advantages of traditional Bayesian and frequentist statistics. Techniques for estimating the local...Loe edasi...
Big Data in Omics and Imaging: Integrated Analysis and Causal Inference addresses the recent development of integrated genomic, epigenomic and imaging data analysis and causal inference in big data era. Despite significant progres...Loe edasi...
(Ilmumisaeg: 24-Mar-2016, Hardback, Kirjastus: Humana Press Inc., ISBN-13: 9781493935765)
This volume expands on statistical analysis of genomic data by discussing cross-cutting groundwork material, public data repositories, common applications, and representative tools for operating on genomic data. Statistical Genomics: Metho...Loe edasi...
George Tseng, Debashis Ghosh, Xianghong Jasmine Zhou
(Ilmumisaeg: 23-Sep-2015, Hardback, Kirjastus: Cambridge University Press, ISBN-13: 9781107069114)
In most modern biomedical research projects, application of high-throughput genomic, proteomic and transcriptomic experiments has gradually become an inevitable component. Popular technologies include microarray and next-generation sequencing such as...Loe edasi...
Through this book, researchers and students will learn to use R for analysis of large-scale genomic data and how to create routines to automate analytical steps. The philosophy behind the book is to start withreal world raw datasets and per...Loe edasi...
(Ilmumisaeg: 18-Sep-2014, Hardback, Kirjastus: Oxford University Press, ISBN-13: 9780198709022)
Nowadays bioinformaticians and geneticists are faced with myriad high-throughput data usually presenting the characteristics of uncertainty, high dimensionality and large complexity. These data will only allow insights into this wealth of so-...Loe edasi...
(Ilmumisaeg: 13-Mar-2012, Hardback, Kirjastus: Humana Press Inc., ISBN-13: 9781617795817)
This book examines developments in statistical methodology and the challenges that followed rapidly improving sequencing technologies. Includes articles encompassing theoretical works and hands-on tutorials, as well as many reviews with key biologica...Loe edasi...
(Ilmumisaeg: 08-Mar-2012, Hardback, Kirjastus: Humana Press Inc., ISBN-13: 9781617795848)
This highly practical volume, with its step-by-step techniques, brings together recent developments in the statistical methodology of evolutionary genomics and the challenges that followed as a result of rapidly improving sequencing technologies....Loe edasi...
(Ilmumisaeg: 04-Nov-2010, Hardback, Kirjastus: Oxford University Press, ISBN-13: 9780199213269)
Evolutionary genomics is a relatively new research field with the ultimate goal of understanding the underlying evolutionary and genetic mechanisms for the emergence of genome complexity under changing environments. It stems from an integration of hi...Loe edasi...
(Ilmumisaeg: 06-Oct-2010, Paperback / softback, Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K, ISBN-13: 9783642161803)
This book constitutes the proceedings of the 8th RECOMB International Satellite Workshop on Comparative Genomics, RECOMB-CG 2010, Ottawa, Canada, in October 2010.This workshop is devoted to bringing together scientists working on all aspects of compa...Loe edasi...
Several methods for combining information from different studies specific to genetic and genomic areas are explained by researchers in statistics and in various biological disciplines. They consider in turn combining similar genotype data, combining...Loe edasi...
This text by Reilly (U. of Minnesota) is intended to introduce students in statistics, biostatistics, computer science, and related fields in applied mathematics to the problems arising in the statistical analysis of genetics and genomes. The emphasi...Loe edasi...
(Ilmumisaeg: 19-Dec-2007, Hardback, Kirjastus: Springer-Verlag New York Inc., ISBN-13: 9780387493169)
This book establishes the theoretical foundations of a general methodology for multiple hypothesis testing and discusses its software implementation in R and SAS. The methods are applied to a range of testing problems in biomedical and genomic resear...Loe edasi...
(Ilmumisaeg: 23-Aug-2007, Hardback, Kirjastus: Humana Press Inc., ISBN-13: 9781588296696)
Researchers and clinicians alike are finding it difficult to keep up with all the advances in mapping disease genes. This synthesis offers a brief technical overview and history so readers can locate their own current level of knowledge in this rapid...Loe edasi...
Self-contained and entertaining introduction to computational genomics, using a case-studies approach with Matlab demos. Where did SARS come from? Have we inherited genes from Neanderthals? How do plants use their internal clock? The genomic...Loe edasi...
(Ilmumisaeg: 14-Dec-2006, Hardback, Kirjastus: Cambridge University Press, ISBN-13: 9780521856034)
Self-contained and entertaining introduction to computational genomics, using a case-studies approach with Matlab demos. Where did SARS come from? Have we inherited genes from Neanderthals? How do plants use their internal clock? The genomic...Loe edasi...
(Ilmumisaeg: 04-May-2006, Hardback, Kirjastus: Springer-Verlag New York Inc., ISBN-13: 9780387262871)
The 2nd edition of this book adds 8 new contributors to reflect a modern cutting edge approach to genomics. The expanded scope includes coverage of statistical issues on single nucleotide polymorphism analysis array, CGH analysis, SAGE analysis, gene...Loe edasi...
(Ilmumisaeg: 19-Sep-2006, Paperback / softback, Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K, ISBN-13: 9783540445296)
This book constitutes the refereed proceedings of the 4th RECOMB Comparative Genomics Satellite Workshop, RECOMB-CG 2006. The 17 revised full papers presented were carefully reviewed and selected from 34 initial submissions. The papers address a b...Loe edasi...
(Ilmumisaeg: 06-Sep-2005, Paperback / softback, Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K, ISBN-13: 9783540289326)
This book constitutes the refereed proceedings of the RECOMB 2005 Satellite Workshop, the 3rd RECOMB Comparative Genomics meeting RCG 2005, held in Dublin, Ireland in September 2005.The 14 revised full papers presented were carefully reviewed and sel...Loe edasi...
saadame teile pakkumise kasutatud raamatule, mille hind võib erineda kodulehel olevast hinnast
Seventeen contributions cover a wide range of topics and span a number of disciplines such as image analysis, statistics, machine learning, pattern recognition, time-frequency and nonlinear signal processing, parallel computing, molecular biology, an...Loe edasi...
Designed to serve as a textbook for graduate and upper-level undergraduate students, and as a handbook for genomic data analysis. Topics include the screening of genetic markers, linkage analysis and grouping, gene ordering, multilocus models, linkag...Loe edasi...
