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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Veröffentlicht in:	Biostatistics (Oxford, England) Jg. 13; H. 2; S. 204
Hauptverfasser:	Hansen, Kasper D, Irizarry, Rafael A, Wu, Zhijin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England 01.04.2012
Schlagworte:	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-Zugang:	Weitere Angaben
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