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    Results: 1 to 20 of 436

    1.

    Text-derived concept profiles support assessment of DNA microarray data for acute myeloid leukemia and for androgen receptor stimulation.

    Jelier R, Jenster G, Dorssers LC, Wouters BJ, Hendriksen PJ, Mons B, Delwel R, Kors JA.

    BMC Bioinformatics. 2007 Jan 18;8:14.PMID: 17233900 [PubMed - indexed for MEDLINE]Related articlesFree article

    2.

    The effect of oligonucleotide microarray data pre-processing on the analysis of patient-cohort studies.

    Verhaak RG, Staal FJ, Valk PJ, Lowenberg B, Reinders MJ, de Ridder D.

    BMC Bioinformatics. 2006 Mar 2;7:105.PMID: 16512908 [PubMed - indexed for MEDLINE]Related articlesFree article

    3.

    FM-test: a fuzzy-set-theory-based approach to differential gene expression data analysis.

    Liang LR, Lu S, Wang X, Lu Y, Mandal V, Patacsil D, Kumar D.

    BMC Bioinformatics. 2006 Dec 12;7 Suppl 4:S7.PMID: 17217525 [PubMed - indexed for MEDLINE]Related articlesFree article

    4.

    Large scale data mining approach for gene-specific standardization of microarray gene expression data.

    Yoon S, Yang Y, Choi J, Seong J.

    Bioinformatics. 2006 Dec 1;22(23):2898-904. Epub 2006 Oct 10.PMID: 17032674 [PubMed - indexed for MEDLINE]Related articlesFree article

    5.

    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

    6.

    Ensemble dependence model for classification and prediction of cancer and normal gene expression data.

    Qiu P, Wang ZJ, Liu KJ.

    Bioinformatics. 2005 Jul 15;21(14):3114-21. Epub 2005 May 6.PMID: 15879455 [PubMed - indexed for MEDLINE]Related articlesFree article

    7.

    Meta-analysis of breast cancer microarray studies in conjunction with conserved cis-elements suggest patterns for coordinate regulation.

    Smith DD, Saetrom P, Snøve O Jr, Lundberg C, Rivas GE, Glackin C, Larson GP.

    BMC Bioinformatics. 2008 Jan 28;9:63.PMID: 18226260 [PubMed - indexed for MEDLINE]Related articlesFree article

    8.

    A nonparametric likelihood ratio test to identify differentially expressed genes from microarray data.

    Bokka S, Mathur SK.

    Appl Bioinformatics. 2006;5(4):267-76.PMID: 17140273 [PubMed - indexed for MEDLINE]Related articles

    9.

    Large-scale integration of cancer microarray data identifies a robust common cancer signature.

    Xu L, Geman D, Winslow RL.

    BMC Bioinformatics. 2007 Jul 30;8:275.PMID: 17663766 [PubMed - indexed for MEDLINE]Related articlesFree article

    10.

    Independent component analysis-based penalized discriminant method for tumor classification using gene expression data.

    Huang DS, Zheng CH.

    Bioinformatics. 2006 Aug 1;22(15):1855-62. Epub 2006 May 18.PMID: 16709589 [PubMed - indexed for MEDLINE]Related articlesFree article

    11.

    Inference of disease-related molecular logic from systems-based microarray analysis.

    Varadan V, Anastassiou D.

    PLoS Comput Biol. 2006 Jun 16;2(6):e68. Epub 2006 Jun 16.PMID: 16789819 [PubMed - indexed for MEDLINE]Related articlesFree article

    12.

    Dual activation of pathways regulated by steroid receptors and peptide growth factors in primary prostate cancer revealed by Factor Analysis of microarray data.

    Lozano JJ, Soler M, Bermudo R, Abia D, Fernandez PL, Thomson TM, Ortiz AR.

    BMC Genomics. 2005 Aug 17;6:109.PMID: 16107210 [PubMed - indexed for MEDLINE]Related articlesFree article

    13.

    Effects of replacing the unreliable cDNA microarray measurements on the disease classification based on gene expression profiles and functional modules.

    Wang D, Lv Y, Guo Z, Li X, Li Y, Zhu J, Yang D, Xu J, Wang C, Rao S, Yang B.

    Bioinformatics. 2006 Dec 1;22(23):2883-9. Epub 2006 Jun 29.PMID: 16809389 [PubMed - indexed for MEDLINE]Related articlesFree article

    14.

    A statistical method for identifying differential gene-gene co-expression patterns.

    Lai Y, Wu B, Chen L, Zhao H.

    Bioinformatics. 2004 Nov 22;20(17):3146-55. Epub 2004 Jul 1.PMID: 15231528 [PubMed - indexed for MEDLINE]Related articlesFree article

    15.

    Methods for evaluating gene expression from Affymetrix microarray datasets.

    Jiang N, Leach LJ, Hu X, Potokina E, Jia T, Druka A, Waugh R, Kearsey MJ, Luo ZW.

    BMC Bioinformatics. 2008 Jun 17;9:284.PMID: 18559105 [PubMed - indexed for MEDLINE]Related articlesFree article

    16.

    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

    17.

    Classification of intramural metastases and lymph node metastases of esophageal cancer from gene expression based on boosting and projective adaptive resonance theory.

    Takahashi H, Aoyagi K, Nakanishi Y, Sasaki H, Yoshida T, Honda H.

    J Biosci Bioeng. 2006 Jul;102(1):46-52.PMID: 16952836 [PubMed - indexed for MEDLINE]Related articlesFree article

    18.

    Group testing for pathway analysis improves comparability of different microarray datasets.

    Manoli T, Gretz N, Gröne HJ, Kenzelmann M, Eils R, Brors B.

    Bioinformatics. 2006 Oct 15;22(20):2500-6. Epub 2006 Aug 7.PMID: 16895928 [PubMed - indexed for MEDLINE]Related articlesFree article

    19.

    Response projected clustering for direct association with physiological and clinical response data.

    Yi SG, Park T, Lee JK.

    BMC Bioinformatics. 2008 Jan 31;9:76.PMID: 18237428 [PubMed - indexed for MEDLINE]Related articlesFree article

    20.

    Automatic construction of gene relation networks using text mining and gene expression data.

    Karopka T, Scheel T, Bansemer S, Glass A.

    Med Inform Internet Med. 2004 Jun;29(2):169-83.PMID: 15370996 [PubMed - indexed for MEDLINE]Related articles

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