Differential expression in SAGE: accounting for normal between-library variation
Author(s) -
Keith Baggerly,
Li Deng,
Jeffrey S. Morris,
C. Marcelo Aldaz
Publication year - 2003
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btg173
Subject(s) - variation (astronomy) , statistic , sampling (signal processing) , sage , inference , computer science , statistics , differential (mechanical device) , expression (computer science) , mathematics , artificial intelligence , programming language , physics , astrophysics , nuclear physics , engineering , aerospace engineering , filter (signal processing) , computer vision
In contrasting levels of gene expression between groups of SAGE libraries, the libraries within each group are often combined and the counts for the tag of interest summed, and inference is made on the basis of these larger 'pseudolibraries'. While this captures the sampling variability inherent in the procedure, it fails to allow for normal variation in levels of the gene between individuals within the same group, and can consequently overstate the significance of the results. The effect is not slight: between-library variation can be hundreds of times the within-library variation.
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