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Biostatistics with R: An Introduction to Statistics Through Biological Data Babak Shahbaba
Publisher: Springer

We hypothesize, that using statistical methods to detect differential expression between samples is biased by transcript length and that this bias is inherent to the standard RNA-seq process. This has implications for the ranking of differentially expressed genes, and in particular may introduce bias in gene set testing for pathway analysis and other multi-gene systems biology analyses. Biostatistics with R: An Introduction to Statistics Through Biological Data Use R! Feature of current protocols for RNA-seq technology. Note: Books have affiliate links. Introduction to probability and statistics. When you have returned it, remove your name. Biostatistics Library Books available to personnel within the department. Chicago Press 423 0226021149,9780226021140. Biostatistics with R : an introduction to statistics through biological data. United Kingdom : Brooks/Cole Cengage Learning, c2013. However, the original COPA algorithm did not identify down-regulated outliers, and the currently available R package implementing the method is similarly restricted to the analysis of over-expressed outliers. Please record your name next to the book you borrowed. Please bring books for donation to John Bock. Biostatistics with R: An Introduction to Statistics Through Biological Data.