Revisiting Global Gene Expression Analysis

Author(s)
Loven, Jakob; Orlando, David A.; Sigova, Alla A.; Lin, Charles Y.; Rahl, Peter B.; ... Show more
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Abstract
Gene expression analysis is a widely used and powerful method for investigating the transcriptional behavior of biological systems, for classifying cell states in disease, and for many other purposes. Recent studies indicate that common assumptions currently embedded in experimental and analytical practices can lead to misinterpretation of global gene expression data. We discuss these assumptions and describe solutions that should minimize erroneous interpretation of gene expression data from multiple analysis platforms.
Date issued
2012-10
URI
http://hdl.handle.net/1721.1/96292
Department
Massachusetts Institute of Technology. Computational and Systems Biology Program; Massachusetts Institute of Technology. Department of Biology; Whitehead Institute for Biomedical Research
Journal
Cell
Publisher
Elsevier B.V.
Citation
Lovén, Jakob, David A. Orlando, Alla A. Sigova, Charles Y. Lin, Peter B. Rahl, Christopher B. Burge, David L. Levens, Tong Ihn Lee, and Richard A. Young. “Revisiting Global Gene Expression Analysis.” Cell 151, no. 3 (October 2012): 476–482. © 2012 Elsevier Inc.
Version: Final published version
ISSN
00928674
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