CiteULike is a free online bibliography manager. Register and you can start organising your references online.
Tags

Revisiting global gene expression analysis.

by: Jakob Lovén, David A. Orlando, Alla A. Sigova, Charles Y. Lin, Peter B. Rahl, Christopher B. Burge, David L. Levens, Tong Ihn I. Lee, Richard A. Young
Cell, Vol. 151, No. 3. (26 October 2012), pp. 476-482, doi:10.1016/j.cell.2012.10.012  Key: citeulike:11548213

Formatted Citation


Show HTML

Likes (beta)

This copy of the article hasn't been liked by anyone yet.

View FullText article


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.


shikin's tags for this article

Citations (CiTO)

No CiTO relationships defined

X There is 1 review Average rating 4.0

X Find related articles from these CiteULike users

X Find related articles with these CiteULike tags

X Posting History


X Export records

Privacy Statement | Terms & Conditions
CiteULike organises scholarly (or academic) papers or literature and provides bibliographic (which means it makes bibliographies) for universities and higher education establishments. It helps undergraduates and postgraduates. People studying for PhDs or in postdoctoral (postdoc) positions. The service is similar in scope to EndNote or RefWorks or any other reference manager like BibTeX, but it is a social bookmarking service for scientists and humanities researchers.