Format
Items per page
Sort by

Send to:

Choose Destination

Results: 1 to 20 of 120

Related Citations for PubMed (Select 21342567)

1.

Integrated metabolome and transcriptome analysis of the NCI60 dataset.

Su G, Burant CF, Beecher CW, Athey BD, Meng F.

BMC Bioinformatics. 2011 Feb 15;12 Suppl 1:S36. doi: 10.1186/1471-2105-12-S1-S36.

2.

Exploring matrix factorization techniques for significant genes identification of Alzheimer's disease microarray gene expression data.

Kong W, Mou X, Hu X.

BMC Bioinformatics. 2011;12 Suppl 5:S7. doi: 10.1186/1471-2105-12-S5-S7. Epub 2011 Jul 27.

3.

Knowledge-guided multi-scale independent component analysis for biomarker identification.

Chen L, Xuan J, Wang C, Shih IeM, Wang Y, Zhang Z, Hoffman E, Clarke R.

BMC Bioinformatics. 2008 Oct 6;9:416. doi: 10.1186/1471-2105-9-416.

4.

Bi-directional gene set enrichment and canonical correlation analysis identify key diet-sensitive pathways and biomarkers of metabolic syndrome.

Morine MJ, McMonagle J, Toomey S, Reynolds CM, Moloney AP, Gormley IC, Gaora PO, Roche HM.

BMC Bioinformatics. 2010 Oct 7;11:499. doi: 10.1186/1471-2105-11-499.

5.

Integrative clustering of multiple genomic data types using a joint latent variable model with application to breast and lung cancer subtype analysis.

Shen R, Olshen AB, Ladanyi M.

Bioinformatics. 2009 Nov 15;25(22):2906-12. doi: 10.1093/bioinformatics/btp543. Epub 2009 Sep 16. Erratum in: Bioinformatics. 2010 Jan 15;26(2):292-3.

6.

An integrated analysis of molecular aberrations in NCI-60 cell lines.

Yeang CH.

BMC Bioinformatics. 2010 Oct 6;11:495. doi: 10.1186/1471-2105-11-495.

7.

Latent factor analysis to discover pathway-associated putative segmental aneuploidies in human cancers.

Lucas JE, Kung HN, Chi JT.

PLoS Comput Biol. 2010 Sep 2;6(9):e1000920. doi: 10.1371/journal.pcbi.1000920.

8.

Integrative transcriptional analysis between human and mouse cancer cells provides a common set of transformation associated genes.

Balestrieri C, Vanoni M, Hautaniemi S, Alberghina L, Chiaradonna F.

Biotechnol Adv. 2012 Jan-Feb;30(1):16-29. doi: 10.1016/j.biotechadv.2011.06.013. Epub 2011 Jun 29.

PMID:
21736933
9.

KaPPA-View4: a metabolic pathway database for representation and analysis of correlation networks of gene co-expression and metabolite co-accumulation and omics data.

Sakurai N, Ara T, Ogata Y, Sano R, Ohno T, Sugiyama K, Hiruta A, Yamazaki K, Yano K, Aoki K, Aharoni A, Hamada K, Yokoyama K, Kawamura S, Otsuka H, Tokimatsu T, Kanehisa M, Suzuki H, Saito K, Shibata D.

Nucleic Acids Res. 2011 Jan;39(Database issue):D677-84. doi: 10.1093/nar/gkq989. Epub 2010 Nov 19.

10.
11.

Cliques for the identification of gene signatures for colorectal cancer across population.

Pradhan MP, Nagulapalli K, Palakal MJ.

BMC Syst Biol. 2012;6 Suppl 3:S17. doi: 10.1186/1752-0509-6-S3-S17. Epub 2012 Dec 17.

12.

Gene expression analysis in clear cell renal cell carcinoma using gene set enrichment analysis for biostatistical management.

Maruschke M, Reuter D, Koczan D, Hakenberg OW, Thiesen HJ.

BJU Int. 2011 Jul;108(2 Pt 2):E29-35. doi: 10.1111/j.1464-410X.2010.09794.x. Epub 2011 Mar 16.

PMID:
21435154
13.

Cross-platform comparison and visualisation of gene expression data using co-inertia analysis.

Culhane AC, Perrière G, Higgins DG.

BMC Bioinformatics. 2003 Nov 21;4:59.

14.

Statistical Test of Expression Pattern (STEPath): a new strategy to integrate gene expression data with genomic information in individual and meta-analysis studies.

Martini P, Risso D, Sales G, Romualdi C, Lanfranchi G, Cagnin S.

BMC Bioinformatics. 2011 Apr 11;12:92. doi: 10.1186/1471-2105-12-92.

15.

Reconstruction of genome-scale active metabolic networks for 69 human cell types and 16 cancer types using INIT.

Agren R, Bordel S, Mardinoglu A, Pornputtapong N, Nookaew I, Nielsen J.

PLoS Comput Biol. 2012;8(5):e1002518. doi: 10.1371/journal.pcbi.1002518. Epub 2012 May 17.

16.

The PathOlogist: an automated tool for pathway-centric analysis.

Greenblum SI, Efroni S, Schaefer CF, Buetow KH.

BMC Bioinformatics. 2011 May 4;12:133. doi: 10.1186/1471-2105-12-133.

17.

Identification of gene fusion transcripts by transcriptome sequencing in BRCA1-mutated breast cancers and cell lines.

Ha KC, Lalonde E, Li L, Cavallone L, Natrajan R, Lambros MB, Mitsopoulos C, Hakas J, Kozarewa I, Fenwick K, Lord CJ, Ashworth A, Vincent-Salomon A, Basik M, Reis-Filho JS, Majewski J, Foulkes WD.

BMC Med Genomics. 2011 Oct 27;4:75. doi: 10.1186/1755-8794-4-75.

18.

A robust tool for discriminative analysis and feature selection in paired samples impacts the identification of the genes essential for reprogramming lung tissue to adenocarcinoma.

Toh SH, Prathipati P, Motakis E, Kwoh CK, Yenamandra SP, Kuznetsov VA.

BMC Genomics. 2011 Nov 30;12 Suppl 3:S24. doi: 10.1186/1471-2164-12-S3-S24. Epub 2011 Nov 30.

19.

Using next generation transcriptome sequencing to predict an ectomycorrhizal metabolome.

Larsen PE, Sreedasyam A, Trivedi G, Podila GK, Cseke LJ, Collart FR.

BMC Syst Biol. 2011 May 13;5:70. doi: 10.1186/1752-0509-5-70.

Format
Items per page
Sort by

Send to:

Choose Destination

Supplemental Content

Write to the Help Desk