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    Results: 1 to 20 of 93

    1.

    Knowledge driven decomposition of tumor expression profiles.

    van Vliet MH, Wessels LF, Reinders MJ.

    BMC Bioinformatics. 2009 Jan 30;10 Suppl 1:S20.PMID: 19208120 [PubMed - indexed for MEDLINE]Related articlesFree article

    2.

    Multi-class cancer classification via partial least squares with gene expression profiles.

    Nguyen DV, Rocke DM.

    Bioinformatics. 2002 Sep;18(9):1216-26.PMID: 12217913 [PubMed - indexed for MEDLINE]Related articlesFree article

    3.

    Integration of HapMap-based SNP pattern analysis and gene expression profiling reveals common SNP profiles for cancer therapy outcome predictor genes.

    Glinsky GV.

    Cell Cycle. 2006 Nov;5(22):2613-25. Epub 2006 Nov 15.PMID: 17172834 [PubMed - indexed for MEDLINE]Related articles

    4.

    From mice to humans: identification of commonly deregulated genes in mammary cancer via comparative SAGE studies.

    Hu Y, Sun H, Drake J, Kittrell F, Abba MC, Deng L, Gaddis S, Sahin A, Baggerly K, Medina D, Aldaz CM.

    Cancer Res. 2004 Nov 1;64(21):7748-55.PMID: 15520179 [PubMed - indexed for MEDLINE]Related articlesFree article

    5.

    Distinct molecular mechanisms underlying clinically relevant subtypes of breast cancer: gene expression analyses across three different platforms.

    Sørlie T, Wang Y, Xiao C, Johnsen H, Naume B, Samaha RR, Børresen-Dale AL.

    BMC Genomics. 2006 May 26;7:127.PMID: 16729877 [PubMed - indexed for MEDLINE]Related articlesFree article

    6.

    Ensemble dependence model for classification and prediction of cancer and normal gene expression data.

    Qiu P, Wang ZJ, Liu KJ.

    Bioinformatics. 2005 Jul 15;21(14):3114-21. Epub 2005 May 6.PMID: 15879455 [PubMed - indexed for MEDLINE]Related articlesFree article

    7.

    Dynamic models of gene expression and classification.

    Dewey TG, Galas DJ.

    Funct Integr Genomics. 2001 Mar;1(4):269-78.PMID: 11793246 [PubMed - indexed for MEDLINE]Related articles

    8.

    Gene expression profile analysis of tumors.

    Basso K, Dalla-Favera R.

    Methods Mol Biol. 2007;383:67-79.PMID: 18217679 [PubMed - indexed for MEDLINE]Related articles

    9.

    TP53 mutation status and gene expression profiles are powerful prognostic markers of breast cancer.

    Langerød A, Zhao H, Borgan Ø, Nesland JM, Bukholm IR, Ikdahl T, Kåresen R, Børresen-Dale AL, Jeffrey SS.

    Breast Cancer Res. 2007;9(3):R30.PMID: 17504517 [PubMed - indexed for MEDLINE]Related articlesFree article

    10.

    Challenges in projecting clustering results across gene expression-profiling datasets.

    Lusa L, McShane LM, Reid JF, De Cecco L, Ambrogi F, Biganzoli E, Gariboldi M, Pierotti MA.

    J Natl Cancer Inst. 2007 Nov 21;99(22):1715-23. Epub 2007 Nov 13.PMID: 18000217 [PubMed - indexed for MEDLINE]Related articlesFree article

    11.

    Bioinformatics approaches for cross-species liver cancer analysis based on microarray gene expression profiling.

    Fang H, Tong W, Perkins R, Shi L, Hong H, Cao X, Xie Q, Yim SH, Ward JM, Pitot HC, Dragan YP.

    BMC Bioinformatics. 2005 Jul 15;6 Suppl 2:S6.PMID: 16026603 [PubMed - indexed for MEDLINE]Related articlesFree article

    12.

    [Transcriptomes for serial analysis of gene expression]

    Marti J, Piquemal D, Manchon L, Commes T.

    J Soc Biol. 2002;196(4):303-7. Review. French. PMID: 12645300 [PubMed - indexed for MEDLINE]Related articles

    13.

    A decomposition model to track gene expression signatures: preview on observer-independent classification of ovarian cancer.

    Martoglio AM, Miskin JW, Smith SK, MacKay DJ.

    Bioinformatics. 2002 Dec;18(12):1617-24.PMID: 12490446 [PubMed - indexed for MEDLINE]Related articlesFree article

    14.

    Prediction potential of candidate biomarker sets identified and validated on gene expression data from multiple datasets.

    Gormley M, Dampier W, Ertel A, Karacali B, Tozeren A.

    BMC Bioinformatics. 2007 Oct 26;8:415.PMID: 17963508 [PubMed - indexed for MEDLINE]Related articlesFree article

    15.

    Expression profiling of human renal carcinomas with functional taxonomic analysis.

    Gieseg MA, Cody T, Man MZ, Madore SJ, Rubin MA, Kaldjian EP.

    BMC Bioinformatics. 2002 Sep 30;3:26.PMID: 12356337 [PubMed - indexed for MEDLINE]Related articlesFree article

    16.

    Development and validation of a method for using breast core needle biopsies for gene expression microarray analyses.

    Ellis M, Davis N, Coop A, Liu M, Schumaker L, Lee RY, Srikanchana R, Russell CG, Singh B, Miller WR, Stearns V, Pennanen M, Tsangaris T, Gallagher A, Liu A, Zwart A, Hayes DF, Lippman ME, Wang Y, Clarke R.

    Clin Cancer Res. 2002 May;8(5):1155-66.PMID: 12006532 [PubMed - indexed for MEDLINE]Related articlesFree article

    17.

    Supervised group Lasso with applications to microarray data analysis.

    Ma S, Song X, Huang J.

    BMC Bioinformatics. 2007 Feb 22;8:60.PMID: 17316436 [PubMed - indexed for MEDLINE]Related articlesFree article

    18.

    Partial least squares dimension reduction for microarray gene expression data with a censored response.

    Nguyen DV.

    Math Biosci. 2005 Jan;193(1):119-37. Epub 2005 Jan 22.PMID: 15681279 [PubMed - indexed for MEDLINE]Related articles

    19.

    Ensemble attribute profile clustering: discovering and characterizing groups of genes with similar patterns of biological features.

    Semeiks JR, Rizki A, Bissell MJ, Mian IS.

    BMC Bioinformatics. 2006 Mar 16;7:147.PMID: 16542449 [PubMed - indexed for MEDLINE]Related articlesFree article

    20.

    Kernel Cox regression models for linking gene expression profiles to censored survival data.

    Li H, Luan Y.

    Pac Symp Biocomput. 2003:65-76.PMID: 12603018 [PubMed - indexed for MEDLINE]Related articlesFree article

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