(Izdošanas datums: 17-Mar-2024, Paperback / softback, Izdevniecība: 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...Lasīt vairāk
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...Lasīt vairāk
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...Lasīt vairāk
(Izdošanas datums: 17-Mar-2023, Hardback, Izdevniecība: 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...Lasīt vairāk
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...Lasīt vairāk
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...Lasīt vairāk
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...Lasīt vairāk
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....Lasīt vairāk
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...Lasīt vairāk
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...Lasīt vairāk
(Izdošanas datums: 24-Mar-2016, Hardback, Izdevniecība: 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...Lasīt vairāk
George Tseng, Debashis Ghosh, Xianghong Jasmine Zhou
(Izdošanas datums: 23-Sep-2015, Hardback, Izdevniecība: 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...Lasīt vairāk
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...Lasīt vairāk
(Izdošanas datums: 18-Sep-2014, Hardback, Izdevniecība: 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-...Lasīt vairāk
(Izdošanas datums: 13-Mar-2012, Hardback, Izdevniecība: 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...Lasīt vairāk
(Izdošanas datums: 08-Mar-2012, Hardback, Izdevniecība: 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....Lasīt vairāk
(Izdošanas datums: 04-Nov-2010, Hardback, Izdevniecība: 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...Lasīt vairāk
(Izdošanas datums: 06-Oct-2010, Paperback / softback, Izdevniecība: 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...Lasīt vairāk
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...Lasīt vairāk
