166 related articles for article (PubMed ID: 32238826)
1. Meta-Analysis Based on Nonconvex Regularization.
Zhang H; Li SJ; Zhang H; Yang ZY; Ren YQ; Xia LY; Liang Y
Sci Rep; 2020 Apr; 10(1):5755. PubMed ID: 32238826
[TBL] [Abstract][Full Text] [Related]
2. Multi-view based integrative analysis of gene expression data for identifying biomarkers.
Yang ZY; Liu XY; Shu J; Zhang H; Ren YQ; Xu ZB; Liang Y
Sci Rep; 2019 Sep; 9(1):13504. PubMed ID: 31534156
[TBL] [Abstract][Full Text] [Related]
3. COORDINATE DESCENT ALGORITHMS FOR NONCONVEX PENALIZED REGRESSION, WITH APPLICATIONS TO BIOLOGICAL FEATURE SELECTION.
Breheny P; Huang J
Ann Appl Stat; 2011 Jan; 5(1):232-253. PubMed ID: 22081779
[TBL] [Abstract][Full Text] [Related]
4. Sparse logistic regression with a L1/2 penalty for gene selection in cancer classification.
Liang Y; Liu C; Luan XZ; Leung KS; Chan TM; Xu ZB; Zhang H
BMC Bioinformatics; 2013 Jun; 14():198. PubMed ID: 23777239
[TBL] [Abstract][Full Text] [Related]
5. Smoothly clipped absolute deviation (SCAD) regularization for compressed sensing MRI using an augmented Lagrangian scheme.
Mehranian A; Rad HS; Rahmim A; Ay MR; Zaidi H
Magn Reson Imaging; 2013 Oct; 31(8):1399-411. PubMed ID: 23891179
[TBL] [Abstract][Full Text] [Related]
6. Novel harmonic regularization approach for variable selection in Cox's proportional hazards model.
Chu GJ; Liang Y; Wang JX
Comput Math Methods Med; 2014; 2014():857398. PubMed ID: 25506389
[TBL] [Abstract][Full Text] [Related]
7. Novel Regularization Method for Biomarker Selection and Cancer Classification.
Liu XY; Wang S; Zhang H; Zhang H; Yang ZY; Liang Y
IEEE/ACM Trans Comput Biol Bioinform; 2020; 17(4):1329-1340. PubMed ID: 30716046
[TBL] [Abstract][Full Text] [Related]
8. Meta-analysis based variable selection for gene expression data.
Li Q; Wang S; Huang CC; Yu M; Shao J
Biometrics; 2014 Dec; 70(4):872-80. PubMed ID: 25196635
[TBL] [Abstract][Full Text] [Related]
9. A novel meta-analysis based on data augmentation and elastic data shared lasso regularization for gene expression.
Huang HH; Rao H; Miao R; Liang Y
BMC Bioinformatics; 2022 Aug; 23(Suppl 10):353. PubMed ID: 35999505
[TBL] [Abstract][Full Text] [Related]
10. A Semismooth Newton Algorithm for High-Dimensional Nonconvex Sparse Learning.
Shi Y; Huang J; Jiao Y; Yang Q
IEEE Trans Neural Netw Learn Syst; 2020 Aug; 31(8):2993-3006. PubMed ID: 31536018
[TBL] [Abstract][Full Text] [Related]
11. Hessian regularization based non-negative matrix factorization for gene expression data clustering.
Liu X; Shi J; Wang C
Annu Int Conf IEEE Eng Med Biol Soc; 2015; 2015():4130-3. PubMed ID: 26737203
[TBL] [Abstract][Full Text] [Related]
12. Integrative Hypergraph Regularization Principal Component Analysis for Sample Clustering and Co-Expression Genes Network Analysis on Multi-Omics Data.
Wu MJ; Gao YL; Liu JX; Zheng CH; Wang J
IEEE J Biomed Health Inform; 2020 Jun; 24(6):1823-1834. PubMed ID: 31634852
[TBL] [Abstract][Full Text] [Related]
13. Tuning parameter estimation in SCAD-support vector machine using firefly algorithm with application in gene selection and cancer classification.
Al-Thanoon NA; Qasim OS; Algamal ZY
Comput Biol Med; 2018 Dec; 103():262-268. PubMed ID: 30399534
[TBL] [Abstract][Full Text] [Related]
14. Gene selection using support vector machines with non-convex penalty.
Zhang HH; Ahn J; Lin X; Park C
Bioinformatics; 2006 Jan; 22(1):88-95. PubMed ID: 16249260
[TBL] [Abstract][Full Text] [Related]
15. Integrative analysis of multiple cancer genomic datasets under the heterogeneity model.
Liu J; Huang J; Ma S
Stat Med; 2013 Sep; 32(20):3509-21. PubMed ID: 23519988
[TBL] [Abstract][Full Text] [Related]
16. EMT network-based feature selection improves prognosis prediction in lung adenocarcinoma.
Shao B; Bjaanæs MM; Helland Å; Schütte C; Conrad T
PLoS One; 2019; 14(1):e0204186. PubMed ID: 30703089
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Majorization Minimization by Coordinate Descent for Concave Penalized Generalized Linear Models.
Jiang D; Huang J
Stat Comput; 2014 Sep; 24(5):871-883. PubMed ID: 25309048
[TBL] [Abstract][Full Text] [Related]
19. OPTIMAL COMPUTATIONAL AND STATISTICAL RATES OF CONVERGENCE FOR SPARSE NONCONVEX LEARNING PROBLEMS.
Wang Z; Liu H; Zhang T
Ann Stat; 2014; 42(6):2164-2201. PubMed ID: 25544785
[TBL] [Abstract][Full Text] [Related]
20. Gene selection in cancer classification using sparse logistic regression with Bayesian regularization.
Cawley GC; Talbot NL
Bioinformatics; 2006 Oct; 22(19):2348-55. PubMed ID: 16844704
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
