159 related articles for article (PubMed ID: 25247789)
1. A robust and accurate method for feature selection and prioritization from multi-class OMICs data.
Fortino V; Kinaret P; Fyhrquist N; Alenius H; Greco D
PLoS One; 2014; 9(9):e107801. PubMed ID: 25247789
[TBL] [Abstract][Full Text] [Related]
2. A novel class dependent feature selection method for cancer biomarker discovery.
Zhou W; Dickerson JA
Comput Biol Med; 2014 Apr; 47():66-75. PubMed ID: 24561345
[TBL] [Abstract][Full Text] [Related]
3. A new population initialization of metaheuristic algorithms based on hybrid fuzzy rough set for high-dimensional gene data feature selection.
Guo X; Hu J; Yu H; Wang M; Yang B
Comput Biol Med; 2023 Nov; 166():107538. PubMed ID: 37857136
[TBL] [Abstract][Full Text] [Related]
4. Identification of most important features based on a fuzzy ensemble technique: Evaluation on joint space narrowing progression in knee osteoarthritis patients.
Ntakolia C; Kokkotis C; Moustakidis S; Tsaopoulos D
Int J Med Inform; 2021 Dec; 156():104614. PubMed ID: 34662820
[TBL] [Abstract][Full Text] [Related]
5. Robustness of chemometrics-based feature selection methods in early cancer detection and biomarker discovery.
Lee HW; Lawton C; Na YJ; Yoon S
Stat Appl Genet Mol Biol; 2013 Mar; 12(2):207-23. PubMed ID: 23502343
[TBL] [Abstract][Full Text] [Related]
6. A consensus multi-view multi-objective gene selection approach for improved sample classification.
Acharya S; Cui L; Pan Y
BMC Bioinformatics; 2020 Sep; 21(Suppl 13):386. PubMed ID: 32938388
[TBL] [Abstract][Full Text] [Related]
7. A novel feature selection approach for biomedical data classification.
Peng Y; Wu Z; Jiang J
J Biomed Inform; 2010 Feb; 43(1):15-23. PubMed ID: 19647098
[TBL] [Abstract][Full Text] [Related]
8. iRDA: a new filter towards predictive, stable, and enriched candidate genes.
Lai HM; Albrecht AA; Steinhöfel KK
BMC Genomics; 2015 Dec; 16():1041. PubMed ID: 26647162
[TBL] [Abstract][Full Text] [Related]
9. A robust fuzzy rule based integrative feature selection strategy for gene expression data in TCGA.
Fan S; Tang J; Tian Q; Wu C
BMC Med Genomics; 2019 Jan; 12(Suppl 1):14. PubMed ID: 30704464
[TBL] [Abstract][Full Text] [Related]
10. Fuzzy support vector machine: an efficient rule-based classification technique for microarrays.
Hajiloo M; Rabiee HR; Anooshahpour M
BMC Bioinformatics; 2013; 14 Suppl 13(Suppl 13):S4. PubMed ID: 24266942
[TBL] [Abstract][Full Text] [Related]
11. Outcome prediction based on microarray analysis: a critical perspective on methods.
Zervakis M; Blazadonakis ME; Tsiliki G; Danilatou V; Tsiknakis M; Kafetzopoulos D
BMC Bioinformatics; 2009 Feb; 10():53. PubMed ID: 19200394
[TBL] [Abstract][Full Text] [Related]
12. Feature selection methods for big data bioinformatics: A survey from the search perspective.
Wang L; Wang Y; Chang Q
Methods; 2016 Dec; 111():21-31. PubMed ID: 27592382
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. A new hybrid filter/wrapper algorithm for feature selection in classification.
Zhang J; Xiong Y; Min S
Anal Chim Acta; 2019 Nov; 1080():43-54. PubMed ID: 31409474
[TBL] [Abstract][Full Text] [Related]
15. Benchmarking relief-based feature selection methods for bioinformatics data mining.
Urbanowicz RJ; Olson RS; Schmitt P; Meeker M; Moore JH
J Biomed Inform; 2018 Sep; 85():168-188. PubMed ID: 30030120
[TBL] [Abstract][Full Text] [Related]
16. Filter versus wrapper gene selection approaches in DNA microarray domains.
Inza I; Larrañaga P; Blanco R; Cerrolaza AJ
Artif Intell Med; 2004 Jun; 31(2):91-103. PubMed ID: 15219288
[TBL] [Abstract][Full Text] [Related]
17. Feature weight estimation for gene selection: a local hyperlinear learning approach.
Cai H; Ruan P; Ng M; Akutsu T
BMC Bioinformatics; 2014 Mar; 15():70. PubMed ID: 24625071
[TBL] [Abstract][Full Text] [Related]
18. Evaluation of variable selection methods for random forests and omics data sets.
Degenhardt F; Seifert S; Szymczak S
Brief Bioinform; 2019 Mar; 20(2):492-503. PubMed ID: 29045534
[TBL] [Abstract][Full Text] [Related]
19. Filter and Wrapper Stacking Ensemble (FWSE): a robust approach for reliable biomarker discovery in high-dimensional omics data.
Budhraja S; Doborjeh M; Singh B; Tan S; Doborjeh Z; Lai E; Merkin A; Lee J; Goh W; Kasabov N
Brief Bioinform; 2023 Sep; 24(6):. PubMed ID: 37889118
[TBL] [Abstract][Full Text] [Related]
20. Explainable machine learning for knee osteoarthritis diagnosis based on a novel fuzzy feature selection methodology.
Kokkotis C; Ntakolia C; Moustakidis S; Giakas G; Tsaopoulos D
Phys Eng Sci Med; 2022 Mar; 45(1):219-229. PubMed ID: 35099771
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
