Items per page
Sort by

Send to:

Choose Destination

Results: 6

Cited In for PubMed (Select 16512908)


Ensemble analyses improve signatures of tumour hypoxia and reveal inter-platform differences.

Fox NS, Starmans MH, Haider S, Lambin P, Boutros PC.

BMC Bioinformatics. 2014 Jun 6;15:170. doi: 10.1186/1471-2105-15-170.


Unifying gene expression measures from multiple platforms using factor analysis.

Wang XV, Verhaak RG, Purdom E, Spellman PT, Speed TP.

PLoS One. 2011 Mar 11;6(3):e17691. doi: 10.1371/journal.pone.0017691.


A comprehensive sensitivity analysis of microarray breast cancer classification under feature variability.

Sontrop HM, Moerland PD, van den Ham R, Reinders MJ, Verhaegh WF.

BMC Bioinformatics. 2009 Nov 26;10:389. doi: 10.1186/1471-2105-10-389.


Comparative analysis of methods for gene transcription profiling data derived from different microarray technologies in rat and mouse models of diabetes.

Wilder SP, Kaisaki PJ, Argoud K, Salhan A, Ragoussis J, Bihoreau MT, Gauguier D.

BMC Genomics. 2009 Feb 5;10:63. doi: 10.1186/1471-2164-10-63.


New candidate genes for sex-comb divergence between Drosophila mauritiana and Drosophila simulans.

Graze RM, Barmina O, Tufts D, Naderi E, Harmon KL, Persianinova M, Nuzhdin SV.

Genetics. 2007 Aug;176(4):2561-76. Epub 2007 Jun 11.


Statistical analysis of an RNA titration series evaluates microarray precision and sensitivity on a whole-array basis.

Holloway AJ, Oshlack A, Diyagama DS, Bowtell DD, Smyth GK.

BMC Bioinformatics. 2006 Nov 22;7:511.

Items per page
Sort by

Send to:

Choose Destination

Supplemental Content

Write to the Help Desk