Removing technical variability in RNA-seq data using conditional quantile normalization

The ability to measure gene expression on a genome-wide scale is one of the most promising accomplishments in molecular biology. Microarrays, the technology that first permitted this, were riddled with problems due to unwanted sources of variability. Many of these problems are now mitigated, after a...

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Bibliographic Details

Published in:	Biostatistics (Oxford, England) Vol. 13; no. 2; p. 204
Main Authors:	Hansen, Kasper D, Irizarry, Rafael A, Wu, Zhijin
Format:	Journal Article
Language:	English
Published:	England 01.04.2012
Subjects:	Algorithms Analysis of Variance Base Composition Biostatistics Databases, Nucleic Acid - statistics & numerical data Gene Expression Profiling - statistics & numerical data High-Throughput Nucleotide Sequencing - statistics & numerical data Humans Oligonucleotide Array Sequence Analysis - statistics & numerical data Sequence Analysis, RNA - statistics & numerical data
ISSN:	1468-4357, 1468-4357
Online Access:	Get more information
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