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    Results: 1 to 20 of 555

    1.

    Independent component analysis of Alzheimer's DNA microarray gene expression data.

    Kong W, Mou X, Liu Q, Chen Z, Vanderburg CR, Rogers JT, Huang X.

    Mol Neurodegener. 2009 Jan 28;4(1):5.PMID: 19173745 [PubMed - as supplied by publisher]Related articlesFree article

    2.

    Independent component analysis of microarray data in the study of endometrial cancer.

    Saidi SA, Holland CM, Kreil DP, MacKay DJ, Charnock-Jones DS, Print CG, Smith SK.

    Oncogene. 2004 Aug 26;23(39):6677-83.PMID: 15247901 [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.

    Elucidating the altered transcriptional programs in breast cancer using independent component analysis.

    Teschendorff AE, Journée M, Absil PA, Sepulchre R, Caldas C.

    PLoS Comput Biol. 2007 Aug;3(8):e161. Epub 2007 Jun 29.PMID: 17708679 [PubMed - indexed for MEDLINE]Related articlesFree article

    5.

    Knowledge-guided multi-scale independent component analysis for biomarker identification.

    Chen L, Xuan J, Wang C, Shih IeM, Wang Y, Zhang Z, Hoffman E, Clarke R.

    BMC Bioinformatics. 2008 Oct 6;9:416.PMID: 18837990 [PubMed - indexed for MEDLINE]Related articlesFree article

    6.

    Extracting gene expression patterns and identifying co-expressed genes from microarray data reveals biologically responsive processes.

    Chou JW, Zhou T, Kaufmann WK, Paules RS, Bushel PR.

    BMC Bioinformatics. 2007 Nov 2;8:427.PMID: 17980031 [PubMed - indexed for MEDLINE]Related articlesFree article

    7.

    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

    8.

    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

    9.

    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

    10.

    Harnessing the power of gene microarrays for the study of brain aging and Alzheimer's disease: statistical reliability and functional correlation.

    Blalock EM, Chen KC, Stromberg AJ, Norris CM, Kadish I, Kraner SD, Porter NM, Landfield PW.

    Ageing Res Rev. 2005 Nov;4(4):481-512. Epub 2005 Oct 27. Review.PMID: 16257272 [PubMed - indexed for MEDLINE]Related articles

    11.

    Biclustering of microarray data with MOSPO based on crowding distance.

    Liu J, Li Z, Hu X, Chen Y.

    BMC Bioinformatics. 2009 Apr 29;10 Suppl 4:S9.PMID: 19426457 [PubMed - indexed for MEDLINE]Related articlesFree article

    13.

    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]Related articlesFree article

    14.

    Selecting subsets of newly extracted features from PCA and PLS in microarray data analysis.

    Li GZ, Bu HL, Yang MQ, Zeng XQ, Yang JY.

    BMC Genomics. 2008 Sep 16;9 Suppl 2:S24.PMID: 18831790 [PubMed - indexed for MEDLINE]Related articlesFree article

    15.

    A review of independent component analysis application to microarray gene expression data.

    Kong W, Vanderburg CR, Gunshin H, Rogers JT, Huang X.

    Biotechniques. 2008 Nov;45(5):501-20. Review.PMID: 19007336 [PubMed - indexed for MEDLINE]Related articlesFree article

    16.

    A decomposition model to track gene expression signatures: preview on observer-independent classification of ovarian cancer.

    Martoglio AM, Miskin JW, Smith SK, MacKay DJ.

    Bioinformatics. 2002 Dec;18(12):1617-24.PMID: 12490446 [PubMed - indexed for MEDLINE]Related articlesFree article

    17.

    Very Important Pool (VIP) genes--an application for microarray-based molecular signatures.

    Su Z, Hong H, Fang H, Shi L, Perkins R, Tong W.

    BMC Bioinformatics. 2008 Aug 12;9 Suppl 9:S9.PMID: 18793473 [PubMed - indexed for MEDLINE]Related articlesFree article

    18.

    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

    19.

    Independent component analysis reveals new and biologically significant structures in micro array data.

    Frigyesi A, Veerla S, Lindgren D, Höglund M.

    BMC Bioinformatics. 2006 Jun 8;7:290.PMID: 16762055 [PubMed - indexed for MEDLINE]Related articlesFree article

    20.

    Genome holography: deciphering function-form motifs from gene expression data.

    Madi A, Friedman Y, Roth D, Regev T, Bransburg-Zabary S, Ben Jacob E.

    PLoS One. 2008 Jul 16;3(7):e2708.PMID: 18628959 [PubMed - indexed for MEDLINE]Related articlesFree article

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