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      Revisiting global gene expression analysis.

      Cell
      Gene Expression Profiling, methods, Genome-Wide Association Study, Humans, Oligonucleotide Array Sequence Analysis, Proto-Oncogene Proteins c-myc, genetics, Sequence Analysis, RNA, Transcription, Genetic

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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. Copyright © 2012 Elsevier Inc. All rights reserved.

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