Display Settings:

Format
Items per page
Sort by

Send to:

Choose Destination

    Results: 1 to 20 of 217

    2.

    A graph-theoretic technique for classification of normal and tumor tissues using gene expression microarray data.

    Kim S.

    Conf Proc IEEE Eng Med Biol Soc. 2007;2007:4621-4.PMID: 18003035 [PubMed - indexed for MEDLINE]Related articles

    3.

    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

    4.

    Effective dimension reduction methods for tumor classification using gene expression data.

    Antoniadis A, Lambert-Lacroix S, Leblanc F.

    Bioinformatics. 2003 Mar 22;19(5):563-70.PMID: 12651713 [PubMed - indexed for MEDLINE]Related articlesFree article

    5.

    Optimization models for cancer classification: extracting gene interaction information from microarray expression data.

    Antonov AV, Tetko IV, Mader MT, Budczies J, Mewes HW.

    Bioinformatics. 2004 Mar 22;20(5):644-52. Epub 2004 Jan 22.PMID: 15033871 [PubMed - indexed for MEDLINE]Related articlesFree article

    6.

    Filter versus wrapper gene selection approaches in DNA microarray domains.

    Inza I, Larrañaga P, Blanco R, Cerrolaza AJ.

    Artif Intell Med. 2004 Jun;31(2):91-103. Review.PMID: 15219288 [PubMed - indexed for MEDLINE]Related articles

    7.

    Significance of gene ranking for classification of microarray samples.

    Zhang C, Lu X, Zhang X.

    IEEE/ACM Trans Comput Biol Bioinform. 2006 Jul-Sep;3(3):312-20.PMID: 17048468 [PubMed - indexed for MEDLINE]Related articles

    8.

    A combinational feature selection and ensemble neural network method for classification of gene expression data.

    Liu B, Cui Q, Jiang T, Ma S.

    BMC Bioinformatics. 2004 Sep 27;5:136.PMID: 15450124 [PubMed - indexed for MEDLINE]Related articlesFree article

    9.

    Tumor classification by partial least squares using microarray gene expression data.

    Nguyen DV, Rocke DM.

    Bioinformatics. 2002 Jan;18(1):39-50.PMID: 11836210 [PubMed - indexed for MEDLINE]Related articlesFree article

    10.

    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

    11.

    Gene selection from microarray data for cancer classification--a machine learning approach.

    Wang Y, Tetko IV, Hall MA, Frank E, Facius A, Mayer KF, Mewes HW.

    Comput Biol Chem. 2005 Feb;29(1):37-46.PMID: 15680584 [PubMed - indexed for MEDLINE]Related articles

    12.

    A nonparametric scoring algorithm for identifying informative genes from microarray data.

    Park PJ, Pagano M, Bonetti M.

    Pac Symp Biocomput. 2001:52-63.PMID: 11262969 [PubMed - indexed for MEDLINE]Related articlesFree article

    13.

    New gene selection method for classification of cancer subtypes considering within-class variation.

    Cho JH, Lee D, Park JH, Lee IB.

    FEBS Lett. 2003 Sep 11;551(1-3):3-7.PMID: 12965195 [PubMed - indexed for MEDLINE]Related articles

    14.

    Multi-class tumor classification by discriminant partial least squares using microarray gene expression data and assessment of classification models.

    Tan Y, Shi L, Tong W, Hwang GT, Wang C.

    Comput Biol Chem. 2004 Jul;28(3):235-44.PMID: 15261154 [PubMed - indexed for MEDLINE]Related articles

    15.

    Applications of support vector machines to cancer classification with microarray data.

    Chu F, Wang L.

    Int J Neural Syst. 2005 Dec;15(6):475-84.PMID: 16385636 [PubMed - indexed for MEDLINE]Related articles

    16.

    Selecting informative genes for discriminant analysis using multigene expression profiles.

    Yan X, Zheng T.

    BMC Genomics. 2008 Sep 16;9 Suppl 2:S14.PMID: 18831779 [PubMed - indexed for MEDLINE]Related articlesFree article

    17.

    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

    18.

    SED, a normalization free method for DNA microarray data analysis.

    Wang H, Huang H.

    BMC Bioinformatics. 2004 Sep 2;5:121.PMID: 15345033 [PubMed - indexed for MEDLINE]Related articlesFree article

    19.

    Regularization network-based gene selection for microarray data analysis.

    Zhou X, Mao KZ.

    Int J Neural Syst. 2006 Oct;16(5):341-52.PMID: 17117495 [PubMed - indexed for MEDLINE]Related articles

    20.

    Data-dependent kernel machines for microarray data classification.

    Xiong H, Zhang Y, Chen XW.

    IEEE/ACM Trans Comput Biol Bioinform. 2007 Oct-Dec;4(4):583-95.PMID: 17975270 [PubMed - indexed for MEDLINE]Related articles

    Display Settings:

    Format
    Items per page
    Sort by

    Send to:

    Choose Destination