193 related articles for article (PubMed ID: 20716532)
1. Feature selection in finite mixture of sparse normal linear models in high-dimensional feature space.
Khalili A; Chen J; Lin S
Biostatistics; 2011 Jan; 12(1):156-72. PubMed ID: 20716532
[TBL] [Abstract][Full Text] [Related]
2. A GMM-IG framework for selecting genes as expression panel biomarkers.
Wang M; Chen JY
Artif Intell Med; 2010; 48(2-3):75-82. PubMed ID: 20004087
[TBL] [Abstract][Full Text] [Related]
3. What should be expected from feature selection in small-sample settings.
Sima C; Dougherty ER
Bioinformatics; 2006 Oct; 22(19):2430-6. PubMed ID: 16870934
[TBL] [Abstract][Full Text] [Related]
4. Optimal number of features as a function of sample size for various classification rules.
Hua J; Xiong Z; Lowey J; Suh E; Dougherty ER
Bioinformatics; 2005 Apr; 21(8):1509-15. PubMed ID: 15572470
[TBL] [Abstract][Full Text] [Related]
5. Genetic test bed for feature selection.
Choudhary A; Brun M; Hua J; Lowey J; Suh E; Dougherty ER
Bioinformatics; 2006 Apr; 22(7):837-42. PubMed ID: 16428263
[TBL] [Abstract][Full Text] [Related]
6. The ant colony algorithm for feature selection in high-dimension gene expression data for disease classification.
Robbins KR; Zhang W; Bertrand JK; Rekaya R
Math Med Biol; 2007 Dec; 24(4):413-26. PubMed ID: 18296718
[TBL] [Abstract][Full Text] [Related]
7. Penalized Cox regression analysis in the high-dimensional and low-sample size settings, with applications to microarray gene expression data.
Gui J; Li H
Bioinformatics; 2005 Jul; 21(13):3001-8. PubMed ID: 15814556
[TBL] [Abstract][Full Text] [Related]
8. Clustering of high-dimensional gene expression data with feature filtering methods and diffusion maps.
Xu R; Damelin S; Nadler B; Wunsch DC
Artif Intell Med; 2010; 48(2-3):91-8. PubMed ID: 19962867
[TBL] [Abstract][Full Text] [Related]
9. Bayesian feature and model selection for Gaussian mixture models.
Constantinopoulos C; Titsias MK; Likas A
IEEE Trans Pattern Anal Mach Intell; 2006 Jun; 28(6):1013-8. PubMed ID: 16724595
[TBL] [Abstract][Full Text] [Related]
10. Decomposition and model selection for large contingency tables.
Dahinden C; Kalisch M; Bühlmann P
Biom J; 2010 Apr; 52(2):233-52. PubMed ID: 20213739
[TBL] [Abstract][Full Text] [Related]
11. Regulatory motif finding by logic regression.
Keles S; van der Laan MJ; Vulpe C
Bioinformatics; 2004 Nov; 20(16):2799-811. PubMed ID: 15166027
[TBL] [Abstract][Full Text] [Related]
12. Variable selection for clustering with Gaussian mixture models.
Maugis C; Celeux G; Martin-Magniette ML
Biometrics; 2009 Sep; 65(3):701-9. PubMed ID: 19210744
[TBL] [Abstract][Full Text] [Related]
13. Model-based clustering of microarray expression data via latent Gaussian mixture models.
McNicholas PD; Murphy TB
Bioinformatics; 2010 Nov; 26(21):2705-12. PubMed ID: 20802251
[TBL] [Abstract][Full Text] [Related]
14. Iterative RELIEF for feature weighting: algorithms, theories, and applications.
Sun Y
IEEE Trans Pattern Anal Mach Intell; 2007 Jun; 29(6):1035-51. PubMed ID: 17431301
[TBL] [Abstract][Full Text] [Related]
15. A multiple kernel support vector machine scheme for feature selection and rule extraction from gene expression data of cancer tissue.
Chen Z; Li J; Wei L
Artif Intell Med; 2007 Oct; 41(2):161-75. PubMed ID: 17851055
[TBL] [Abstract][Full Text] [Related]
16. Simultaneous feature selection and clustering using mixture models.
Law MH; Figueiredo MA; Jain AK
IEEE Trans Pattern Anal Mach Intell; 2004 Sep; 26(9):1154-66. PubMed ID: 15742891
[TBL] [Abstract][Full Text] [Related]
17. Feature selection in feature network models: finding predictive subsets of features with the Positive Lasso.
Frank LE; Heiser WJ
Br J Math Stat Psychol; 2008 May; 61(Pt 1):1-27. PubMed ID: 18482473
[TBL] [Abstract][Full Text] [Related]
18. Boosting feature selection for Neural Network based regression.
Bailly K; Milgram M
Neural Netw; 2009; 22(5-6):748-56. PubMed ID: 19616404
[TBL] [Abstract][Full Text] [Related]
19. Bayesian finite Markov mixture model for temporal multi-tissue polygenic patterns.
Liang Y; Kelemen A
Biom J; 2009 Feb; 51(1):56-69. PubMed ID: 19197952
[TBL] [Abstract][Full Text] [Related]
20. Regularization in finite mixture of regression models with diverging number of parameters.
Khalili A; Lin S
Biometrics; 2013 Jun; 69(2):436-46. PubMed ID: 23556535
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]