Display Settings:

Format
Items per page
Sort by

Send to:

Choose Destination

    Results: 1 to 20 of 172

    1.

    Entropy-based gene ranking without selection bias for the predictive classification of microarray data.

    Furlanello C, Serafini M, Merler S, Jurman G.

    BMC Bioinformatics. 2003 Nov 6;4:54.PMID: 14604446 [PubMed - indexed for MEDLINE]Related articlesFree article

    2.

    An accelerated procedure for recursive feature ranking on microarray data.

    Furlanello C, Serafini M, Merler S, Jurman G.

    Neural Netw. 2003 Jun-Jul;16(5-6):641-8.PMID: 12850018 [PubMed - indexed for MEDLINE]Related articles

    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.

    Multiple SVM-RFE for gene selection in cancer classification with expression data.

    Duan KB, Rajapakse JC, Wang H, Azuaje F.

    IEEE Trans Nanobioscience. 2005 Sep;4(3):228-34.PMID: 16220686 [PubMed - indexed for MEDLINE]Related articles

    5.

    Development of two-stage SVM-RFE gene selection strategy for microarray expression data analysis.

    Tang Y, Zhang YQ, Huang Z.

    IEEE/ACM Trans Comput Biol Bioinform. 2007 Jul-Sep;4(3):365-81.PMID: 17666757 [PubMed - indexed for MEDLINE]Related articles

    6.

    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

    7.

    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]Related articlesFree article

    8.

    Gene extraction for cancer diagnosis by support vector machines--an improvement.

    Huang TM, Kecman V.

    Artif Intell Med. 2005 Sep-Oct;35(1-2):185-94.PMID: 16026974 [PubMed - indexed for MEDLINE]Related articles

    9.

    An entropy-based gene selection method for cancer classification using microarray data.

    Liu X, Krishnan A, Mondry A.

    BMC Bioinformatics. 2005 Mar 24;6:76.PMID: 15790388 [PubMed - indexed for MEDLINE]Related articlesFree article

    10.

    MSVM-RFE: extensions of SVM-RFE for multiclass gene selection on DNA microarray data.

    Zhou X, Tuck DP.

    Bioinformatics. 2007 May 1;23(9):1106-14. Erratum in: Bioinformatics. 2007 Aug;23(15):2029. PMID: 17494773 [PubMed - indexed for MEDLINE]Related articlesFree article

    11.

    Semisupervised learning for molecular profiling.

    Furlanello C, Serafini M, Merler S, Jurman G.

    IEEE/ACM Trans Comput Biol Bioinform. 2005 Apr-Jun;2(2):110-8.PMID: 17044176 [PubMed - indexed for MEDLINE]Related articles

    12.

    On the statistical assessment of classifiers using DNA microarray data.

    Ancona N, Maglietta R, Piepoli A, D'Addabbo A, Cotugno R, Savino M, Liuni S, Carella M, Pesole G, Perri F.

    BMC Bioinformatics. 2006 Aug 19;7:387.PMID: 16919171 [PubMed - indexed for MEDLINE]Related articlesFree article

    13.

    Tumor classification ranking from microarray data.

    Hewett R, Kijsanayothin P.

    BMC Genomics. 2008 Sep 16;9 Suppl 2:S21.PMID: 18831787 [PubMed - indexed for MEDLINE]Related articlesFree article

    14.

    Gene selection with multiple ordering criteria.

    Chen JJ, Tsai CA, Tzeng S, Chen CH.

    BMC Bioinformatics. 2007 Mar 5;8:74.PMID: 17338815 [PubMed - indexed for MEDLINE]Related articlesFree article

    15.

    Joint analysis of two microarray gene-expression data sets to select lung adenocarcinoma marker genes.

    Jiang H, Deng Y, Chen HS, Tao L, Sha Q, Chen J, Tsai CJ, Zhang S.

    BMC Bioinformatics. 2004 Jun 24;5:81.PMID: 15217521 [PubMed - indexed for MEDLINE]Related articlesFree article

    16.

    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]Related articlesFree article

    17.

    Tumor classification and marker gene prediction by feature selection and fuzzy c-means clustering using microarray data.

    Wang J, Bø TH, Jonassen I, Myklebost O, Hovig E.

    BMC Bioinformatics. 2003 Dec 2;4:60.PMID: 14651757 [PubMed - indexed for MEDLINE]Related articlesFree article

    18.

    Evaluation of gene importance in microarray data based upon probability of selection.

    Fu LM, Fu-Liu CS.

    BMC Bioinformatics. 2005 Mar 22;6:67.PMID: 15784140 [PubMed - indexed for MEDLINE]Related articlesFree article

    19.

    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]Related articlesFree article

    20.

    Classification based upon gene expression data: bias and precision of error rates.

    Wood IA, Visscher PM, Mengersen KL.

    Bioinformatics. 2007 Jun 1;23(11):1363-70. Epub 2007 Mar 28. Review.PMID: 17392326 [PubMed - indexed for MEDLINE]Related articlesFree article

    Display Settings:

    Format
    Items per page
    Sort by

    Send to:

    Choose Destination