Literature DB >> 16709585

Comparative gene marker selection suite.

Joshua Gould1, Gad Getz, Stefano Monti, Michael Reich, Jill P Mesirov.   

Abstract

MOTIVATION: An important step in analyzing expression profiles from microarray data is to identify genes that can discriminate between distinct classes of samples. Many statistical approaches for assigning significance values to genes have been developed. The Comparative Marker Selection suite consists of three modules that allow users to apply and compare different methods of computing significance for each marker gene, a viewer to assess the results, and a tool to create derivative datasets and marker lists based on user-defined significance criteria. AVAILABILITY: The Comparative Marker Selection application suite is freely available as a GenePattern module. The GenePattern analysis environment is freely available at http://www.broad.mit.edu/genepattern.

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Year:  2006        PMID: 16709585     DOI: 10.1093/bioinformatics/btl196

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  78 in total

1.  A unique library of myogenic cells from facioscapulohumeral muscular dystrophy subjects and unaffected relatives: family, disease and cell function.

Authors:  Sachiko Homma; Jennifer C J Chen; Fedik Rahimov; Mary Lou Beermann; Kendal Hanger; Genila M Bibat; Kathryn R Wagner; Louis M Kunkel; Charles P Emerson; Jeffrey Boone Miller
Journal:  Eur J Hum Genet       Date:  2011-11-23       Impact factor: 4.246

2.  Integrative genomic analysis implicates gain of PIK3CA at 3q26 and MYC at 8q24 in chronic lymphocytic leukemia.

Authors:  Jennifer R Brown; Megan Hanna; Bethany Tesar; Lillian Werner; Nathalie Pochet; John M Asara; Yaoyu E Wang; Paola Dal Cin; Stacey M Fernandes; Christina Thompson; Laura Macconaill; Catherine J Wu; Yves Van de Peer; Mick Correll; Aviv Regev; Donna Neuberg; Arnold S Freedman
Journal:  Clin Cancer Res       Date:  2012-05-23       Impact factor: 12.531

3.  Disease allele-dependent small-molecule sensitivities in blood cells from monogenic diabetes.

Authors:  Stanley Y Shaw; David M Blodgett; Maggie S Ma; Elizabeth C Westly; Paul A Clemons; Aravind Subramanian; Stuart L Schreiber
Journal:  Proc Natl Acad Sci U S A       Date:  2010-12-23       Impact factor: 11.205

4.  Elevated expression of protein biosynthesis genes in liver and muscle of hibernating black bears (Ursus americanus).

Authors:  Vadim B Fedorov; Anna V Goropashnaya; Øivind Tøien; Nathan C Stewart; Andrew Y Gracey; Celia Chang; Shizhen Qin; Geo Pertea; John Quackenbush; Louise C Showe; Michael K Showe; Bert B Boyer; Brian M Barnes
Journal:  Physiol Genomics       Date:  2009-02-24       Impact factor: 3.107

5.  15-Hydroxyprostaglandin dehydrogenase is a target of hepatocyte nuclear factor 3beta and a tumor suppressor in lung cancer.

Authors:  Guosheng Huang; Rosana Eisenberg; Min Yan; Stefano Monti; Earl Lawrence; Pingfu Fu; Jaclyn Walbroehl; Ester Löwenberg; Todd Golub; Jaime Merchan; Daniel G Tenen; Sanford D Markowitz; Balazs Halmos
Journal:  Cancer Res       Date:  2008-07-01       Impact factor: 12.701

Review 6.  Using GenePattern for gene expression analysis.

Authors:  Heidi Kuehn; Arthur Liberzon; Michael Reich; Jill P Mesirov
Journal:  Curr Protoc Bioinformatics       Date:  2008-06

Review 7.  Making sense of cancer genomic data.

Authors:  Lynda Chin; William C Hahn; Gad Getz; Matthew Meyerson
Journal:  Genes Dev       Date:  2011-03-15       Impact factor: 11.361

8.  Traumatic injury, early gene expression, and gram-negative bacteremia.

Authors:  Callie M Thompson; Chin H Park; Ronald V Maier; Grant E O'Keefe
Journal:  Crit Care Med       Date:  2014-06       Impact factor: 7.598

9.  A T cell gene expression panel for the diagnosis and monitoring of disease activity in patients with systemic lupus erythematosus.

Authors:  Alexandros P Grammatikos; Vasileios C Kyttaris; Katalin Kis-Toth; Lisa M Fitzgerald; Amy Devlin; Michele D Finnell; George C Tsokos
Journal:  Clin Immunol       Date:  2013-12-16       Impact factor: 3.969

10.  Systematic RNA interference reveals that oncogenic KRAS-driven cancers require TBK1.

Authors:  David A Barbie; Pablo Tamayo; Jesse S Boehm; So Young Kim; Susan E Moody; Ian F Dunn; Anna C Schinzel; Peter Sandy; Etienne Meylan; Claudia Scholl; Stefan Fröhling; Edmond M Chan; Martin L Sos; Kathrin Michel; Craig Mermel; Serena J Silver; Barbara A Weir; Jan H Reiling; Qing Sheng; Piyush B Gupta; Raymond C Wadlow; Hanh Le; Sebastian Hoersch; Ben S Wittner; Sridhar Ramaswamy; David M Livingston; David M Sabatini; Matthew Meyerson; Roman K Thomas; Eric S Lander; Jill P Mesirov; David E Root; D Gary Gilliland; Tyler Jacks; William C Hahn
Journal:  Nature       Date:  2009-10-21       Impact factor: 49.962

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