288 related articles for article (PubMed ID: 29912884)
1. Rough sets and Laplacian score based cost-sensitive feature selection.
Yu S; Zhao H
PLoS One; 2018; 13(6):e0197564. PubMed ID: 29912884
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Gene Selection Using Locality Sensitive Laplacian Score.
Liao B; Jiang Y; Liang W; Zhu W; Cai L; Cao Z
IEEE/ACM Trans Comput Biol Bioinform; 2014; 11(6):1146-56. PubMed ID: 26357051
[TBL] [Abstract][Full Text] [Related]
4. Laplacian linear discriminant analysis approach to unsupervised feature selection.
Niijima S; Okuno Y
IEEE/ACM Trans Comput Biol Bioinform; 2009; 6(4):605-14. PubMed ID: 19875859
[TBL] [Abstract][Full Text] [Related]
5. Multi-Objective Particle Swarm Optimization Approach for Cost-Based Feature Selection in Classification.
Zhang Y; Gong DW; Cheng J
IEEE/ACM Trans Comput Biol Bioinform; 2017; 14(1):64-75. PubMed ID: 26353379
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. The relevance sample-feature machine: a sparse Bayesian learning approach to joint feature-sample selection.
Mohsenzadeh Y; Sheikhzadeh H; Reza AM; Bathaee N; Kalayeh MM
IEEE Trans Cybern; 2013 Dec; 43(6):2241-54. PubMed ID: 23782842
[TBL] [Abstract][Full Text] [Related]
8. [Research on the application of pattern selection algorithm based on bioinformatic data].
Li X; Zhao C; Wang H; Zhao F
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2011 Oct; 28(5):901-6. PubMed ID: 22097252
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Feature selection in gene expression data using principal component analysis and rough set theory.
Mishra D; Dash R; Rath AK; Acharya M
Adv Exp Med Biol; 2011; 696():91-100. PubMed ID: 21431550
[TBL] [Abstract][Full Text] [Related]
11. Fuzzy-Rough Simultaneous Attribute Selection and Feature Extraction Algorithm.
Maji P; Garai P
IEEE Trans Cybern; 2013 Aug; 43(4):1166-77. PubMed ID: 26502427
[TBL] [Abstract][Full Text] [Related]
12. Locality preserving score for joint feature weights learning.
Yan H; Yang J
Neural Netw; 2015 Sep; 69():126-34. PubMed ID: 26113239
[TBL] [Abstract][Full Text] [Related]
13. A blocking strategy to improve gene selection for classification of gene expression data.
Bontempi G
IEEE/ACM Trans Comput Biol Bioinform; 2007; 4(2):293-300. PubMed ID: 17473321
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Budget constrained non-monotonic feature selection.
Yang H; Xu Z; Lyu MR; King I
Neural Netw; 2015 Nov; 71():214-24. PubMed ID: 26433049
[TBL] [Abstract][Full Text] [Related]
16. Discriminative semi-supervised feature selection via manifold regularization.
Xu Z; King I; Lyu MR; Jin R
IEEE Trans Neural Netw; 2010 Jul; 21(7):1033-47. PubMed ID: 20570772
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. An efficient data preprocessing approach for large scale medical data mining.
Hu YH; Lin WC; Tsai CF; Ke SW; Chen CW
Technol Health Care; 2015; 23(2):153-60. PubMed ID: 25515050
[TBL] [Abstract][Full Text] [Related]
19. A Novel Feature Selection Method for High-Dimensional Mixed Decision Tables.
Thuy NN; Wongthanavasu S
IEEE Trans Neural Netw Learn Syst; 2022 Jul; 33(7):3024-3037. PubMed ID: 33449885
[TBL] [Abstract][Full Text] [Related]
20. A new feature selection scheme using a data distribution factor for unsupervised nominal data.
Chow TW; Wang P; Ma EW
IEEE Trans Syst Man Cybern B Cybern; 2008 Apr; 38(2):499-509. PubMed ID: 18348931
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
