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      Revisiting global gene expression analysis.

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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.

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          Author and article information

          Journal
          Cell
          Cell
          Elsevier BV
          1097-4172
          0092-8674
          Oct 26 2012
          : 151
          : 3
          Affiliations
          [1 ] Whitehead Institute for Biomedical Research, 9 Cambridge Center, Cambridge, MA 02142, USA.
          Article
          S0092-8674(12)01226-3 NIHMS416894
          10.1016/j.cell.2012.10.012
          3505597
          23101621
          7103d4c2-9364-4b85-93dd-068c8ac0655c
          Copyright © 2012 Elsevier Inc. All rights reserved.

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