These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
22. Identification of differential gene expression for microarray data using recursive random forest. Wu XY; Wu ZY; Li K Chin Med J (Engl); 2008 Dec; 121(24):2492-6. PubMed ID: 19187584 [TBL] [Abstract][Full Text] [Related]
23. A novel filter feature selection method for paired microarray expression data analysis. Cao Z; Wang Y; Sun Y; Du W; Liang Y Int J Data Min Bioinform; 2015; 12(4):363-86. PubMed ID: 26510292 [TBL] [Abstract][Full Text] [Related]
24. Evaluation of gene importance in microarray data based upon probability of selection. Fu LM; Fu-Liu CS BMC Bioinformatics; 2005 Mar; 6():67. PubMed ID: 15784140 [TBL] [Abstract][Full Text] [Related]
25. Cancer classification from gene expression data by NPPC ensemble. Ghorai S; Mukherjee A; Sengupta S; Dutta PK IEEE/ACM Trans Comput Biol Bioinform; 2011; 8(3):659-71. PubMed ID: 20479504 [TBL] [Abstract][Full Text] [Related]
26. Mixture models for detecting differentially expressed genes in microarrays. Jones LB; Bean R; McLachlan GJ; Zhu JX Int J Neural Syst; 2006 Oct; 16(5):353-62. PubMed ID: 17117496 [TBL] [Abstract][Full Text] [Related]
27. A balanced iterative random forest for gene selection from microarray data. Anaissi A; Kennedy PJ; Goyal M; Catchpoole DR BMC Bioinformatics; 2013 Aug; 14():261. PubMed ID: 23981907 [TBL] [Abstract][Full Text] [Related]
28. Ensemble gene selection by grouping for microarray data classification. Liu H; Liu L; Zhang H J Biomed Inform; 2010 Feb; 43(1):81-7. PubMed ID: 19699316 [TBL] [Abstract][Full Text] [Related]
29. Robust feature selection for microarray data based on multicriterion fusion. Yang F; Mao KZ IEEE/ACM Trans Comput Biol Bioinform; 2011; 8(4):1080-92. PubMed ID: 21566255 [TBL] [Abstract][Full Text] [Related]
30. 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. PubMed ID: 15680584 [TBL] [Abstract][Full Text] [Related]
31. Reliable gene signatures for microarray classification: assessment of stability and performance. Davis CA; Gerick F; Hintermair V; Friedel CC; Fundel K; Küffner R; Zimmer R Bioinformatics; 2006 Oct; 22(19):2356-63. PubMed ID: 16882647 [TBL] [Abstract][Full Text] [Related]
32. 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]
33. A probabilistic approach for automated discovery of perturbed genes using expression data from microarray or RNA-Seq. Sundaramurthy G; Eghbalnia HR Comput Biol Med; 2015 Dec; 67():29-40. PubMed ID: 26492320 [TBL] [Abstract][Full Text] [Related]
34. Biomarker identification and cancer classification based on microarray data using Laplace naive Bayes model with mean shrinkage. Wu MY; Dai DQ; Shi Y; Yan H; Zhang XF IEEE/ACM Trans Comput Biol Bioinform; 2012; 9(6):1649-62. PubMed ID: 22868679 [TBL] [Abstract][Full Text] [Related]
36. Superior feature-set ranking for small samples using bolstered error estimation. Sima C; Braga-Neto U; Dougherty ER Bioinformatics; 2005 Apr; 21(7):1046-54. PubMed ID: 15514003 [TBL] [Abstract][Full Text] [Related]
37. A hybrid ensemble method based on double disturbance for classifying microarray data. Chen T; Xue H; Hong Z; Cui M; Zhao H Biomed Mater Eng; 2015; 26 Suppl 1():S1961-8. PubMed ID: 26405970 [TBL] [Abstract][Full Text] [Related]
38. Cancer classification and prediction using logistic regression with Bayesian gene selection. Zhou X; Liu KY; Wong ST J Biomed Inform; 2004 Aug; 37(4):249-59. PubMed ID: 15465478 [TBL] [Abstract][Full Text] [Related]
39. SED, a normalization free method for DNA microarray data analysis. Wang H; Huang H BMC Bioinformatics; 2004 Sep; 5():121. PubMed ID: 15345033 [TBL] [Abstract][Full Text] [Related]
40. Compact cancer biomarkers discovery using a swarm intelligence feature selection algorithm. Martinez E; Alvarez MM; Trevino V Comput Biol Chem; 2010 Aug; 34(4):244-50. PubMed ID: 20888301 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]