164 related articles for article (PubMed ID: 28268962)
1. Biomarker discovery based on BBHA and AdaboostM1 on microarray data for cancer classification.
Pashaei E; Ozen M; Aydin N
Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():3080-3083. PubMed ID: 28268962
[TBL] [Abstract][Full Text] [Related]
2. Gene selection using hybrid binary black hole algorithm and modified binary particle swarm optimization.
Pashaei E; Pashaei E; Aydin N
Genomics; 2019 Jul; 111(4):669-686. PubMed ID: 29660477
[TBL] [Abstract][Full Text] [Related]
3. TSG: a new algorithm for binary and multi-class cancer classification and informative genes selection.
Wang H; Zhang H; Dai Z; Chen MS; Yuan Z
BMC Med Genomics; 2013; 6 Suppl 1(Suppl 1):S3. PubMed ID: 23445528
[TBL] [Abstract][Full Text] [Related]
4. Biomarker Discovery Based on Hybrid Optimization Algorithm and Artificial Neural Networks on Microarray Data for Cancer Classification.
Moteghaed NY; Maghooli K; Pirhadi S; Garshasbi M
J Med Signals Sens; 2015; 5(2):88-96. PubMed ID: 26120567
[TBL] [Abstract][Full Text] [Related]
5. An Integrated Feature Selection Algorithm for Cancer Classification using Gene Expression Data.
Ahmed S; Kabir M; Ali Z; Arif M; Ali F; Yu DJ
Comb Chem High Throughput Screen; 2018; 21(9):631-645. PubMed ID: 30569852
[TBL] [Abstract][Full Text] [Related]
6. Tumor classification based on non-negative matrix factorization using gene expression data.
Zheng CH; Ng TY; Zhang L; Shiu CK; Wang HQ
IEEE Trans Nanobioscience; 2011 Jun; 10(2):86-93. PubMed ID: 21742573
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. 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]
9. 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]
10. 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]
11. Gene selection for cancer identification: a decision tree model empowered by particle swarm optimization algorithm.
Chen KH; Wang KJ; Tsai ML; Wang KM; Adrian AM; Cheng WC; Yang TS; Teng NC; Tan KP; Chang KS
BMC Bioinformatics; 2014 Feb; 15():49. PubMed ID: 24555567
[TBL] [Abstract][Full Text] [Related]
12. Gene selection using hybrid dragonfly black hole algorithm: A case study on RNA-seq COVID-19 data.
Pashaei E; Pashaei E
Anal Biochem; 2021 Aug; 627():114242. PubMed ID: 33974890
[TBL] [Abstract][Full Text] [Related]
13. Gene selection for tumor classification using a novel bio-inspired multi-objective approach.
Dashtban M; Balafar M; Suravajhala P
Genomics; 2018 Jan; 110(1):10-17. PubMed ID: 28780377
[TBL] [Abstract][Full Text] [Related]
14. A granular computing approach to gene selection.
Sun L; Xu J
Biomed Mater Eng; 2014; 24(1):1307-14. PubMed ID: 24212026
[TBL] [Abstract][Full Text] [Related]
15. Multi-class BCGA-ELM based classifier that identifies biomarkers associated with hallmarks of cancer.
Sachnev V; Saraswathi S; Niaz R; Kloczkowski A; Suresh S
BMC Bioinformatics; 2015 May; 16():166. PubMed ID: 25986937
[TBL] [Abstract][Full Text] [Related]
16. Accurate cancer classification using expressions of very few genes.
Wang L; Chu F; Xie W
IEEE/ACM Trans Comput Biol Bioinform; 2007; 4(1):40-53. PubMed ID: 17277412
[TBL] [Abstract][Full Text] [Related]
17. Towards precise classification of cancers based on robust gene functional expression profiles.
Guo Z; Zhang T; Li X; Wang Q; Xu J; Yu H; Zhu J; Wang H; Wang C; Topol EJ; Wang Q; Rao S
BMC Bioinformatics; 2005 Mar; 6():58. PubMed ID: 15774002
[TBL] [Abstract][Full Text] [Related]
18. Systematic identification of multiple tumor types in microarray data based on hybrid differential evolution algorithm.
Lu CL; Su TC; Lin TC; Chung IF
Technol Health Care; 2015; 24 Suppl 1():S237-44. PubMed ID: 26684567
[TBL] [Abstract][Full Text] [Related]
19. Gene selection for classification of cancers using probabilistic model building genetic algorithm.
Paul TK; Iba H
Biosystems; 2005 Dec; 82(3):208-25. PubMed ID: 16112804
[TBL] [Abstract][Full Text] [Related]
20. Recursive fuzzy granulation for gene subsets extraction and cancer classification.
Tang Y; Zhang YQ; Huang Z; Hu X; Zhao Y
IEEE Trans Inf Technol Biomed; 2008 Nov; 12(6):723-30. PubMed ID: 19000951
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
