449 related articles for article (PubMed ID: 27056739)
1. A centroid-based gene selection method for microarray data classification.
Guo S; Guo D; Chen L; Jiang Q
J Theor Biol; 2016 Jul; 400():32-41. PubMed ID: 27056739
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. The feature selection bias problem in relation to high-dimensional gene data.
Krawczuk J; Łukaszuk T
Artif Intell Med; 2016 Jan; 66():63-71. PubMed ID: 26674595
[TBL] [Abstract][Full Text] [Related]
4. Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data.
Zhao X; Cheung LW
BMC Bioinformatics; 2007 Feb; 8():67. PubMed ID: 17328811
[TBL] [Abstract][Full Text] [Related]
5. Gene expression data classification using locally linear discriminant embedding.
Li B; Zheng CH; Huang DS; Zhang L; Han K
Comput Biol Med; 2010 Oct; 40(10):802-10. PubMed ID: 20864095
[TBL] [Abstract][Full Text] [Related]
6. Gene selection for microarray data classification via subspace learning and manifold regularization.
Tang C; Cao L; Zheng X; Wang M
Med Biol Eng Comput; 2018 Jul; 56(7):1271-1284. PubMed ID: 29256006
[TBL] [Abstract][Full Text] [Related]
7. A novel gene selection algorithm for cancer classification using microarray datasets.
Alanni R; Hou J; Azzawi H; Xiang Y
BMC Med Genomics; 2019 Jan; 12(1):10. PubMed ID: 30646919
[TBL] [Abstract][Full Text] [Related]
8. New gene selection method for multiclass tumor classification by class centroid.
Shen Q; Shi WM; Kong W
J Biomed Inform; 2009 Feb; 42(1):59-65. PubMed ID: 18835752
[TBL] [Abstract][Full Text] [Related]
9. New algorithms for multi-class cancer diagnosis using tumor gene expression signatures.
Bagirov AM; Ferguson B; Ivkovic S; Saunders G; Yearwood J
Bioinformatics; 2003 Sep; 19(14):1800-7. PubMed ID: 14512351
[TBL] [Abstract][Full Text] [Related]
10. Regularized Least Squares Cancer classifiers from DNA microarray data.
Ancona N; Maglietta R; D'Addabbo A; Liuni S; Pesole G
BMC Bioinformatics; 2005 Dec; 6 Suppl 4(Suppl 4):S2. PubMed ID: 16351746
[TBL] [Abstract][Full Text] [Related]
11. Feature selection and nearest centroid classification for protein mass spectrometry.
Levner I
BMC Bioinformatics; 2005 Mar; 6():68. PubMed ID: 15788095
[TBL] [Abstract][Full Text] [Related]
12. C-HMOSHSSA: Gene selection for cancer classification using multi-objective meta-heuristic and machine learning methods.
Sharma A; Rani R
Comput Methods Programs Biomed; 2019 Sep; 178():219-235. PubMed ID: 31416551
[TBL] [Abstract][Full Text] [Related]
13. Chaotic genetic algorithm for gene selection and classification problems.
Chuang LY; Yang CS; Li JC; Yang CH
OMICS; 2009 Oct; 13(5):407-20. PubMed ID: 19594377
[TBL] [Abstract][Full Text] [Related]
14. LS Bound based gene selection for DNA microarray data.
Zhou X; Mao KZ
Bioinformatics; 2005 Apr; 21(8):1559-64. PubMed ID: 15598834
[TBL] [Abstract][Full Text] [Related]
15. Hybrid Framework Using Multiple-Filters and an Embedded Approach for an Efficient Selection and Classification of Microarray Data.
Bonilla-Huerta E; Hernández-Montiel A; Caporal RM; López MA
IEEE/ACM Trans Comput Biol Bioinform; 2016; 13(1):12-26. PubMed ID: 26336138
[TBL] [Abstract][Full Text] [Related]
16. New variable selection method using interval segmentation purity with application to blockwise kernel transform support vector machine classification of high-dimensional microarray data.
Tang LJ; Du W; Fu HY; Jiang JH; Wu HL; Shen GL; Yu RQ
J Chem Inf Model; 2009 Aug; 49(8):2002-9. PubMed ID: 19645418
[TBL] [Abstract][Full Text] [Related]
17. Identifying Non-Redundant Gene Markers from Microarray Data: A Multiobjective Variable Length PSO-Based Approach.
Mukhopadhyay A; Mandal M
IEEE/ACM Trans Comput Biol Bioinform; 2014; 11(6):1170-83. PubMed ID: 26357053
[TBL] [Abstract][Full Text] [Related]
18. A fast gene selection method for multi-cancer classification using multiple support vector data description.
Cao J; Zhang L; Wang B; Li F; Yang J
J Biomed Inform; 2015 Feb; 53():381-9. PubMed ID: 25549938
[TBL] [Abstract][Full Text] [Related]
19. Regularization network-based gene selection for microarray data analysis.
Zhou X; Mao KZ
Int J Neural Syst; 2006 Oct; 16(5):341-52. PubMed ID: 17117495
[TBL] [Abstract][Full Text] [Related]
20. 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; 4(3):365-81. PubMed ID: 17666757
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
