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    Results: 1 to 20 of 119

    1.

    ANMM4CBR: a case-based reasoning method for gene expression data classification.

    Yao B, Li S.

    Algorithms Mol Biol. 2010 Jan 6;5:14.PMID: 20051140 [PubMed]Free PMC ArticleFree textRelated citations

    2.

    Recursive gene selection based on maximum margin criterion: a comparison with SVM-RFE.

    Niijima S, Kuhara S.

    BMC Bioinformatics. 2006 Dec 25;7:543.PMID: 17187691 [PubMed - indexed for MEDLINE]Free PMC ArticleFree textRelated citations

    3.

    Recursive SVM feature selection and sample classification for mass-spectrometry and microarray data.

    Zhang X, Lu X, Shi Q, Xu XQ, Leung HC, Harris LN, Iglehart JD, Miron A, Liu JS, Wong WH.

    BMC Bioinformatics. 2006 Apr 10;7:197.PMID: 16606446 [PubMed - indexed for MEDLINE]Free PMC ArticleFree textRelated citations

    4.

    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]Free PMC ArticleFree textRelated citations

    5.

    Mixture classification model based on clinical markers for breast cancer prognosis.

    Zeng T, Liu J.

    Artif Intell Med. 2010 Feb-Mar;48(2-3):129-37. Epub 2009 Dec 14.PMID: 20005686 [PubMed - indexed for MEDLINE]Related citations

    6.

    Comparison of feature selection and classification for MALDI-MS data.

    Liu Q, Sung AH, Qiao M, Chen Z, Yang JY, Yang MQ, Huang X, Deng Y.

    BMC Genomics. 2009 Jul 7;10 Suppl 1:S3.PMID: 19594880 [PubMed - indexed for MEDLINE]Free PMC ArticleFree textRelated citations

    7.

    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]Free ArticleRelated citations

    8.

    A multiple kernel support vector machine scheme for feature selection and rule extraction from gene expression data of cancer tissue.

    Chen Z, Li J, Wei L.

    Artif Intell Med. 2007 Oct;41(2):161-75. Epub 2007 Sep 11.PMID: 17851055 [PubMed - indexed for MEDLINE]Related citations

    9.

    Effect of finite sample size on feature selection and classification: a simulation study.

    Way TW, Sahiner B, Hadjiiski LM, Chan HP.

    Med Phys. 2010 Feb;37(2):907-20.PMID: 20229900 [PubMed - indexed for MEDLINE]Related citations

    10.

    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]Free PMC ArticleFree textRelated citations

    11.

    Feature selection and nearest centroid classification for protein mass spectrometry.

    Levner I.

    BMC Bioinformatics. 2005 Mar 23;6:68.PMID: 15788095 [PubMed - indexed for MEDLINE]Free PMC ArticleFree textRelated citations

    12.

    Combining Pareto-optimal clusters using supervised learning for identifying co-expressed genes.

    Maulik U, Mukhopadhyay A, Bandyopadhyay S.

    BMC Bioinformatics. 2009 Jan 20;10:27.PMID: 19154590 [PubMed - indexed for MEDLINE]Free PMC ArticleFree textRelated citations

    13.

    Correlation-based gene selection and classification using Taguchi-BPSO.

    Chuang LY, Yang CS, Wu KC, Yang CH.

    Methods Inf Med. 2010;49(3):254-68. Epub 2010 Feb 5.PMID: 20135079 [PubMed - in process]Related citations

    14.

    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]Free PMC ArticleFree textRelated citations

    15.

    CARSVM: a class association rule-based classification framework and its application to gene expression data.

    Kianmehr K, Alhajj R.

    Artif Intell Med. 2008 Sep;44(1):7-25. Epub 2008 Jun 30.PMID: 18586476 [PubMed - indexed for MEDLINE]Related citations

    16.

    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]Free PMC ArticleFree textRelated citations

    17.

    Feature selection and classification of MAQC-II breast cancer and multiple myeloma microarray gene expression data.

    Liu Q, Sung AH, Chen Z, Liu J, Huang X, Deng Y.

    PLoS One. 2009 Dec 11;4(12):e8250.PMID: 20011240 [PubMed - indexed for MEDLINE]Free PMC ArticleFree textRelated citations

    18.

    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 citations

    19.

    An evolutionary approach for gene selection and classification of microarray data based on SVM error-bound theories.

    Debnath R, Kurita T.

    Biosystems. 2010 Apr;100(1):39-46. Epub 2010 Jan 4.PMID: 20045444 [PubMed - indexed for MEDLINE]Related citations

    20.

    SVM-Fold: a tool for discriminative multi-class protein fold and superfamily recognition.

    Melvin I, Ie E, Kuang R, Weston J, Stafford WN, Leslie C.

    BMC Bioinformatics. 2007 May 22;8 Suppl 4:S2.PMID: 17570145 [PubMed - indexed for MEDLINE]Free PMC ArticleFree textRelated citations

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