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    Results: 1 to 20 of 102

    1.

    Supervised harvesting of expression trees.

    Hastie T, Tibshirani R, Botstein D, Brown P.

    Genome Biol. 2001;2(1):RESEARCH0003. Epub 2001 Jan 10.PMID: 11178280 [PubMed - indexed for MEDLINE]Related articlesFree article

    2.

    'Gene shaving' as a method for identifying distinct sets of genes with similar expression patterns.

    Hastie T, Tibshirani R, Eisen MB, Alizadeh A, Levy R, Staudt L, Chan WC, Botstein D, Brown P.

    Genome Biol. 2000;1(2):RESEARCH0003. Epub 2000 Aug 4.PMID: 11178228 [PubMed - indexed for MEDLINE]Related articlesFree article

    3.

    Recursive cluster elimination (RCE) for classification and feature selection from gene expression data.

    Yousef M, Jung S, Showe LC, Showe MK.

    BMC Bioinformatics. 2007 May 2;8:144.PMID: 17474999 [PubMed - indexed for MEDLINE]Related articlesFree article

    4.

    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

    5.

    Reliable classification of two-class cancer data using evolutionary algorithms.

    Deb K, Raji Reddy A.

    Biosystems. 2003 Nov;72(1-2):111-29.PMID: 14642662 [PubMed - indexed for MEDLINE]Related articles

    6.

    Simultaneous gene clustering and subset selection for sample classification via MDL.

    Jörnsten R, Yu B.

    Bioinformatics. 2003 Jun 12;19(9):1100-9.PMID: 12801870 [PubMed - indexed for MEDLINE]Related articlesFree article

    7.

    Methods for evaluating clustering algorithms for gene expression data using a reference set of functional classes.

    Datta S, Datta S.

    BMC Bioinformatics. 2006 Aug 31;7:397.PMID: 16945146 [PubMed - indexed for MEDLINE]Related articlesFree article

    8.

    Machine learning approaches to supporting the identification of photoreceptor-enriched genes based on expression data.

    Wang H, Zheng H, Simpson D, Azuaje F.

    BMC Bioinformatics. 2006 Mar 8;7:116.PMID: 16524483 [PubMed - indexed for MEDLINE]Related articlesFree article

    9.

    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

    10.

    Selection of informative clusters from hierarchical cluster tree with gene classes.

    Toronen P.

    BMC Bioinformatics. 2004 Mar 25;5:32.PMID: 15043761 [PubMed - indexed for MEDLINE]Related articlesFree article

    11.

    An unsupervised hierarchical dynamic self-organizing approach to cancer class discovery and marker gene identification in microarray data.

    Hsu AL, Tang SL, Halgamuge SK.

    Bioinformatics. 2003 Nov 1;19(16):2131-40.PMID: 14594719 [PubMed - indexed for MEDLINE]Related articlesFree article

    12.

    Clustering of the SOM easily reveals distinct gene expression patterns: results of a reanalysis of lymphoma study.

    Wang J, Delabie J, Aasheim H, Smeland E, Myklebost O.

    BMC Bioinformatics. 2002 Nov 24;3:36. Epub 2002 Nov 24.PMID: 12445336 [PubMed - indexed for MEDLINE]Related articlesFree article

    13.

    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

    14.

    Iterative class discovery and feature selection using Minimal Spanning Trees.

    Varma S, Simon R.

    BMC Bioinformatics. 2004 Sep 8;5:126.PMID: 15355552 [PubMed - indexed for MEDLINE]Related articlesFree article

    15.

    Penalized Cox regression analysis in the high-dimensional and low-sample size settings, with applications to microarray gene expression data.

    Gui J, Li H.

    Bioinformatics. 2005 Jul 1;21(13):3001-8. Epub 2005 Apr 6.PMID: 15814556 [PubMed - indexed for MEDLINE]Related articlesFree article

    16.

    CASPAR: a hierarchical bayesian approach to predict survival times in cancer from gene expression data.

    Kaderali L, Zander T, Faigle U, Wolf J, Schultze JL, Schrader R.

    Bioinformatics. 2006 Jun 15;22(12):1495-502. Epub 2006 Mar 22. Erratum in: Bioinformatics. 2007 Jan 15;23(2):266. PMID: 16554338 [PubMed - indexed for MEDLINE]Related articlesFree article

    17.

    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.PMID: 14633289 [PubMed - indexed for MEDLINE]Related articlesFree article

    18.

    CAGER: classification analysis of gene expression regulation using multiple information sources.

    Ruan J, Zhang W.

    BMC Bioinformatics. 2005 May 12;6:114.PMID: 15890068 [PubMed - indexed for MEDLINE]Related articlesFree article

    19.

    Directed indices for exploring gene expression data.

    LeBlanc M, Kooperberg C, Grogan TM, Miller TP.

    Bioinformatics. 2003 Apr 12;19(6):686-93.PMID: 12691980 [PubMed - indexed for MEDLINE]Related articlesFree article

    20.

    Semi-supervised learning via penalized mixture model with application to microarray sample classification.

    Pan W, Shen X, Jiang A, Hebbel RP.

    Bioinformatics. 2006 Oct 1;22(19):2388-95. Epub 2006 Jul 26.PMID: 16870935 [PubMed - indexed for MEDLINE]Related articlesFree article

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