250 related articles for article (PubMed ID: 21431550)
1. 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]
2. Selecting subsets of newly extracted features from PCA and PLS in microarray data analysis.
Li GZ; Bu HL; Yang MQ; Zeng XQ; Yang JY
BMC Genomics; 2008 Sep; 9 Suppl 2(Suppl 2):S24. PubMed ID: 18831790
[TBL] [Abstract][Full Text] [Related]
3. Principal component analysis-based unsupervised feature extraction applied to in silico drug discovery for posttraumatic stress disorder-mediated heart disease.
Taguchi YH; Iwadate M; Umeyama H
BMC Bioinformatics; 2015 Apr; 16():139. PubMed ID: 25925353
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. 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]
6. Designing a robust feature extraction method based on optimum allocation and principal component analysis for epileptic EEG signal classification.
Siuly S; Li Y
Comput Methods Programs Biomed; 2015 Apr; 119(1):29-42. PubMed ID: 25704869
[TBL] [Abstract][Full Text] [Related]
7. Unsupervised feature selection in digital mammogram image using rough set theory.
Thangavel K; Velayutham C
Int J Bioinform Res Appl; 2012; 8(5-6):436-54. PubMed ID: 23060420
[TBL] [Abstract][Full Text] [Related]
8. Supervised, Unsupervised, and Semi-Supervised Feature Selection: A Review on Gene Selection.
Ang JC; Mirzal A; Haron H; Hamed HN
IEEE/ACM Trans Comput Biol Bioinform; 2016; 13(5):971-989. PubMed ID: 26390495
[TBL] [Abstract][Full Text] [Related]
9. Improving the accuracy of gene expression profile classification with Lorenz curves and Gini ratios.
Tran QN
Adv Exp Med Biol; 2011; 696():83-90. PubMed ID: 21431549
[TBL] [Abstract][Full Text] [Related]
10. New feature selection for gene expression classification based on degree of class overlap in principal dimensions.
Rakkeitwinai S; Lursinsap C; Aporntewan C; Mutirangura A
Comput Biol Med; 2015 Sep; 64():292-8. PubMed ID: 25712072
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Principal component-based feature selection for tumor classification.
Sun L; Xu J; Yin Y
Biomed Mater Eng; 2015; 26 Suppl 1():S2011-7. PubMed ID: 26405977
[TBL] [Abstract][Full Text] [Related]
13. Sparse maximum margin discriminant analysis for feature extraction and gene selection on gene expression data.
Cui Y; Zheng CH; Yang J; Sha W
Comput Biol Med; 2013 Aug; 43(7):933-41. PubMed ID: 23746736
[TBL] [Abstract][Full Text] [Related]
14. Type-2 Fuzzy PCA Approach in Extracting Salient Features for Molecular Cancer Diagnostics and Prognostics.
Singh V; Verma NK; Cui Y
IEEE Trans Nanobioscience; 2019 Jul; 18(3):482-489. PubMed ID: 31107656
[TBL] [Abstract][Full Text] [Related]
15. Dimension selection for feature selection and dimension reduction with principal and independent component analysis.
Koch I; Naito K
Neural Comput; 2007 Feb; 19(2):513-45. PubMed ID: 17206873
[TBL] [Abstract][Full Text] [Related]
16. Mixture classification model based on clinical markers for breast cancer prognosis.
Zeng T; Liu J
Artif Intell Med; 2010; 48(2-3):129-37. PubMed ID: 20005686
[TBL] [Abstract][Full Text] [Related]
17. Attribute clustering for grouping, selection, and classification of gene expression data.
Au WH; Chan KC; Wong AK; Wang Y
IEEE/ACM Trans Comput Biol Bioinform; 2005; 2(2):83-101. PubMed ID: 17044174
[TBL] [Abstract][Full Text] [Related]
18. Parsimonious selection of useful genes in microarray gene expression data.
González-Navarro FF; Belanche-Muñoz LA
Adv Exp Med Biol; 2011; 696():45-55. PubMed ID: 21431545
[TBL] [Abstract][Full Text] [Related]
19. Stable gene selection from microarray data via sample weighting.
Yu L; Han Y; Berens ME
IEEE/ACM Trans Comput Biol Bioinform; 2012; 9(1):262-72. PubMed ID: 21383420
[TBL] [Abstract][Full Text] [Related]
20. A weighted principal component analysis and its application to gene expression data.
Pinto da Costa JF; Alonso H; Roque L
IEEE/ACM Trans Comput Biol Bioinform; 2011; 8(1):246-52. PubMed ID: 21071812
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]