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Journal Abstract Search
324 related items for PubMed ID: 17182700
1. Clustering threshold gradient descent regularization: with applications to microarray studies. Ma S, Huang J. Bioinformatics; 2007 Feb 15; 23(4):466-72. PubMed ID: 17182700 [Abstract] [Full Text] [Related]
2. Independent component analysis-based penalized discriminant method for tumor classification using gene expression data. Huang DS, Zheng CH. Bioinformatics; 2006 Aug 01; 22(15):1855-62. PubMed ID: 16709589 [Abstract] [Full Text] [Related]
3. Gene selection in cancer classification using sparse logistic regression with Bayesian regularization. Cawley GC, Talbot NL. Bioinformatics; 2006 Oct 01; 22(19):2348-55. PubMed ID: 16844704 [Abstract] [Full Text] [Related]
5. Clustering of change patterns using Fourier coefficients. Kim J, Kim H. Bioinformatics; 2008 Jan 15; 24(2):184-91. PubMed ID: 18025003 [Abstract] [Full Text] [Related]
6. Analysis of a Gibbs sampler method for model-based clustering of gene expression data. Joshi A, Van de Peer Y, Michoel T. Bioinformatics; 2008 Jan 15; 24(2):176-83. PubMed ID: 18033794 [Abstract] [Full Text] [Related]
7. Statistical assessment of functional categories of genes deregulated in pathological conditions by using microarray data. Maglietta R, Piepoli A, Catalano D, Licciulli F, Carella M, Liuni S, Pesole G, Perri F, Ancona N. Bioinformatics; 2007 Aug 15; 23(16):2063-72. PubMed ID: 17540679 [Abstract] [Full Text] [Related]
10. Constructing the gene regulation-level representation of microarray data for cancer classification. Wong HS, Wang HQ. J Biomed Inform; 2008 Feb 15; 41(1):95-105. PubMed ID: 17499026 [Abstract] [Full Text] [Related]
17. Class discovery from gene expression data based on perturbation and cluster ensemble. Yu Z, Wong HS. IEEE Trans Nanobioscience; 2009 Jun 01; 8(2):147-60. PubMed ID: 19497836 [Abstract] [Full Text] [Related]
19. Empirical Bayes screening of many p-values with applications to microarray studies. Datta S, Datta S. Bioinformatics; 2005 May 01; 21(9):1987-94. PubMed ID: 15691856 [Abstract] [Full Text] [Related]
20. Bayesian variable selection for the analysis of microarray data with censored outcomes. Sha N, Tadesse MG, Vannucci M. Bioinformatics; 2006 Sep 15; 22(18):2262-8. PubMed ID: 16845144 [Abstract] [Full Text] [Related] Page: [Next] [New Search]