The book introduces phenomenal growth of data generated by increasing numbers of genome sequencing projects and other throughput technology-led experimental efforts. It provides information about various sources of gene expression data, and pre-pr...Loe edasi...
The book introduces phenomenal growth of data generated by increasing numbers of genome sequencing projects and other throughput technology-led experimental efforts. It provides information about various sources of gene expression data, and pre-proc...Loe edasi...
This will be the first book to systematically describe the process and provide corresponding methods for analysing data generated from genetic- and epigenetic-studies. The overall subject is on large data analysis. Specifically, the book aims to pro...Loe edasi...
Analyzing high-dimensional gene expression and DNA methylation data with R is the first practical book that shows a ``pipeline of analytical methods with concrete examples starting from raw gene expression and DNA methyl...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...
Bani K. Mallick, David Gold, Veera Baladandayuthapani
(Ilmumisaeg: 31-Jul-2009, Other digital carrier, Kirjastus: Wiley-Blackwell, ISBN-13: 9780470742785)
The field of high-throughput genetic experimentation is evolving rapidly, with the advent of new technologies and new venues for data mining. Bayesian methods play a role central to the future of data and knowledge integration in the field of Bioinfo...Loe edasi...
Bani K. Mallick, David Gold, Veera Baladandayuthapani
Sari: Statistics in Practice
(Ilmumisaeg: 24-Jul-2009, Hardback, Kirjastus: John Wiley & Sons Inc, ISBN-13: 9780470517666)
The authors (all biostaticians) provide an introduction to Bayesian analysis and gene expression and describe the use of Bayesian methods for application to high-throughput gene expression data. Using public gene expression data, case studies demonst...Loe edasi...
(Ilmumisaeg: 24-Jul-2006, Hardback, Kirjastus: Cambridge University Press, ISBN-13: 9780521860925)
Expert overviews of Bayesian methodology, tools, and software for multi-platform high-throughput experimentation. The interdisciplinary nature of bioinformatics presents a challenge in integrating concepts, methods, software, and multi-platfo...Loe edasi...
Four chapters describe statistical techniques for analyzing the genetic microarray data generated by large-scale, high throughput assays. The authors, who are affiliated with the University of California, Stanford, and Harvard, discuss the model-bas...Loe edasi...
