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    Results: 1 to 20 of 156

    1.

    Optimized between-group classification: a new jackknife-based gene selection procedure for genome-wide expression data.

    Baty F, Bihl MP, Perrière G, Culhane AC, Brutsche MH.

    BMC Bioinformatics. 2005 Sep 28;6:239.PMID: 16191195 [PubMed - indexed for MEDLINE]Related articlesFree article

    2.

    Comparison and evaluation of methods for generating differentially expressed gene lists from microarray data.

    Jeffery IB, Higgins DG, Culhane AC.

    BMC Bioinformatics. 2006 Jul 26;7:359.PMID: 16872483 [PubMed - indexed for MEDLINE]Related articlesFree article

    3.

    A new method for class prediction based on signed-rank algorithms applied to Affymetrix microarray experiments.

    Rème T, Hose D, De Vos J, Vassal A, Poulain PO, Pantesco V, Goldschmidt H, Klein B.

    BMC Bioinformatics. 2008 Jan 11;9:16.PMID: 18190711 [PubMed - indexed for MEDLINE]Related articlesFree article

    4.

    A comparative study of different machine learning methods on microarray gene expression data.

    Pirooznia M, Yang JY, Yang MQ, Deng Y.

    BMC Genomics. 2008;9 Suppl 1:S13.PMID: 18366602 [PubMed - indexed for MEDLINE]Related articlesFree article

    5.

    Genetic algorithms applied to multi-class prediction for the analysis of gene expression data.

    Ooi CH, Tan P.

    Bioinformatics. 2003 Jan;19(1):37-44.PMID: 12499291 [PubMed - indexed for MEDLINE]Related articlesFree article

    6.

    Between-group analysis of microarray data.

    Culhane AC, Perrière G, Considine EC, Cotter TG, Higgins DG.

    Bioinformatics. 2002 Dec;18(12):1600-8.PMID: 12490444 [PubMed - indexed for MEDLINE]Related articlesFree article

    7.

    Gene selection and classification of microarray data using random forest.

    Díaz-Uriarte R, Alvarez de Andrés S.

    BMC Bioinformatics. 2006 Jan 6;7:3.PMID: 16398926 [PubMed - indexed for MEDLINE]Related articlesFree article

    8.

    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

    9.

    Gene selection algorithms for microarray data based on least squares support vector machine.

    Tang EK, Suganthan PN, Yao X.

    BMC Bioinformatics. 2006 Feb 27;7:95.PMID: 16504159 [PubMed - indexed for MEDLINE]Related articlesFree article

    10.

    WilcoxCV: an R package for fast variable selection in cross-validation.

    Boulesteix AL.

    Bioinformatics. 2007 Jul 1;23(13):1702-4. Epub 2007 May 11.PMID: 17495999 [PubMed - indexed for MEDLINE]Related articlesFree article

    11.

    Is cross-validation better than resubstitution for ranking genes?

    Braga-Neto U, Hashimoto R, Dougherty ER, Nguyen DV, Carroll RJ.

    Bioinformatics. 2004 Jan 22;20(2):253-8.PMID: 14734317 [PubMed - indexed for MEDLINE]Related articlesFree article

    12.

    GeneSrF and varSelRF: a web-based tool and R package for gene selection and classification using random forest.

    Diaz-Uriarte R.

    BMC Bioinformatics. 2007 Sep 3;8:328.PMID: 17767709 [PubMed - indexed for MEDLINE]Related articlesFree article

    13.

    A stable gene selection in microarray data analysis.

    Yang K, Cai Z, Li J, Lin G.

    BMC Bioinformatics. 2006 Apr 27;7:228.PMID: 16643657 [PubMed - indexed for MEDLINE]Related articlesFree article

    14.

    Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data.

    Zhao X, Cheung LW.

    BMC Bioinformatics. 2007 Feb 28;8:67.PMID: 17328811 [PubMed - indexed for MEDLINE]Related articlesFree article

    15.

    Bias in error estimation when using cross-validation for model selection.

    Varma S, Simon R.

    BMC Bioinformatics. 2006 Feb 23;7:91.PMID: 16504092 [PubMed - indexed for MEDLINE]Related articlesFree article

    16.

    Feature selection using Haar wavelet power spectrum.

    Subramani P, Sahu R, Verma S.

    BMC Bioinformatics. 2006 Oct 5;7:432.PMID: 17022808 [PubMed - indexed for MEDLINE]Related articlesFree article

    17.

    A blocking strategy to improve gene selection for classification of gene expression data.

    Bontempi G.

    IEEE/ACM Trans Comput Biol Bioinform. 2007 Apr-Jun;4(2):293-300.PMID: 17473321 [PubMed - indexed for MEDLINE]Related articles

    18.

    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

    19.

    A unified framework for finding differentially expressed genes from microarray experiments.

    Shaik JS, Yeasin M.

    BMC Bioinformatics. 2007 Sep 18;8:347.PMID: 17877806 [PubMed - indexed for MEDLINE]Related articlesFree article

    20.

    A classification-based framework for predicting and analyzing gene regulatory response.

    Kundaje A, Middendorf M, Shah M, Wiggins CH, Freund Y, Leslie C.

    BMC Bioinformatics. 2006 Mar 20;7 Suppl 1:S5.PMID: 16723008 [PubMed - indexed for MEDLINE]Related articlesFree article

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