Grouped False-Discovery Rate for Removing the Gene-set-Level Bias of RNA-seq

In recent years, RNA-seq has become a very competitive alternative to microarrays. In RNA-seq experiments, the expected read count for a gene is proportional to its expression level multiplied by its transcript length. Even when two genes are expressed at the same level, differences in length will y...

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Bibliographic Details
Main Authors: Tae Young Yang, Seongmun Jeong
Format: Article
Language:English
Published: SAGE Publishing 2013-01-01
Series:Evolutionary Bioinformatics
Online Access:https://doi.org/10.4137/EBO.S13099