Literature DB >> 15712124

Comparisons of predicted genetic modules: identification of co-expressed genes through module gene flow.

Boris E Shakhnovich1, Timothy E Reddy, Kevin Galinsky, Joseph Mellor, Charles Delisi.   

Abstract

A question of fundamental importance is the definition and identification of modules from microarray experiments. A wide variety of techniques have been used to gain insight into the elucidation of such modules. One problem, however, is the inability to directly compare results between the different data sets produced due to the inherent parameterizations of their approaches. We first aim to provide a mechanism by which different approaches to module finding can be directly compared. Moreover, the same approach can be used to internally compare the modules predicted by the same technique, but at different parameterizations. We apply this approach to analyze the flow of genes through modules at different module thresholds of the Barkai Signature method, thereby further resolving the modules into sets of co-expressed genes.

Mesh:

Year:  2004        PMID: 15712124

Source DB:  PubMed          Journal:  Genome Inform        ISSN: 0919-9454


  4 in total

1.  Inferring transcriptional modules from ChIP-chip, motif and microarray data.

Authors:  Karen Lemmens; Thomas Dhollander; Tijl De Bie; Pieter Monsieurs; Kristof Engelen; Bart Smets; Joris Winderickx; Bart De Moor; Kathleen Marchal
Journal:  Genome Biol       Date:  2006-05-05       Impact factor: 13.583

2.  Identifying gene regulatory modules of heat shock response in yeast.

Authors:  Wei-Sheng Wu; Wen-Hsiung Li
Journal:  BMC Genomics       Date:  2008-09-23       Impact factor: 3.969

3.  Systematic identification of yeast cell cycle transcription factors using multiple data sources.

Authors:  Wei-Sheng Wu; Wen-Hsiung Li
Journal:  BMC Bioinformatics       Date:  2008-12-05       Impact factor: 3.169

4.  Cancer-risk module identification and module-based disease risk evaluation: a case study on lung cancer.

Authors:  Xu Jia; Zhengqiang Miao; Wan Li; Liangcai Zhang; Chenchen Feng; Yuehan He; Xiaoman Bi; Liqiang Wang; Youwen Du; Min Hou; Dapeng Hao; Yun Xiao; Lina Chen; Kongning Li
Journal:  PLoS One       Date:  2014-03-18       Impact factor: 3.240

  4 in total

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