132 related articles for article (PubMed ID: 31880351)
1. Structured sparse logistic regression with application to lung cancer prediction using breath volatile biomarkers.
Zhang X; Zhang Q; Wang X; Ma S; Fang K
Stat Med; 2020 Mar; 39(7):955-967. PubMed ID: 31880351
[TBL] [Abstract][Full Text] [Related]
2. 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]
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. Accounting for grouped predictor variables or pathways in high-dimensional penalized Cox regression models.
Belhechmi S; Bin R; Rotolo F; Michiels S
BMC Bioinformatics; 2020 Jul; 21(1):277. PubMed ID: 32615919
[TBL] [Abstract][Full Text] [Related]
6. Network-Regularized Sparse Logistic Regression Models for Clinical Risk Prediction and Biomarker Discovery.
Min W; Liu J; Zhang S
IEEE/ACM Trans Comput Biol Bioinform; 2018; 15(3):944-953. PubMed ID: 28113328
[TBL] [Abstract][Full Text] [Related]
7. The cross-validated AUC for MCP-logistic regression with high-dimensional data.
Jiang D; Huang J; Zhang Y
Stat Methods Med Res; 2013 Oct; 22(5):505-18. PubMed ID: 22127580
[TBL] [Abstract][Full Text] [Related]
8. The Sparse Laplacian Shrinkage Estimator for High-Dimensional Regression.
Huang J; Ma S; Li H; Zhang CH
Ann Stat; 2011; 39(4):2021-2046. PubMed ID: 22102764
[TBL] [Abstract][Full Text] [Related]
9. Sparse Group Penalties for bi-level variable selection.
Buch G; Schulz A; Schmidtmann I; Strauch K; Wild PS
Biom J; 2024 Jun; 66(4):e2200334. PubMed ID: 38747086
[TBL] [Abstract][Full Text] [Related]
10. Concave 1-norm group selection.
Jiang D; Huang J
Biostatistics; 2015 Apr; 16(2):252-67. PubMed ID: 25417206
[TBL] [Abstract][Full Text] [Related]
11. Newton-Raphson Meets Sparsity: Sparse Learning Via a Novel Penalty and a Fast Solver.
Cao Y; Kang L; Li X; Liu Y; Luo Y; Shi Y
IEEE Trans Neural Netw Learn Syst; 2023 Mar; PP():. PubMed ID: 37028319
[TBL] [Abstract][Full Text] [Related]
12. Blinded Validation of Breath Biomarkers of Lung Cancer, a Potential Ancillary to Chest CT Screening.
Phillips M; Bauer TL; Cataneo RN; Lebauer C; Mundada M; Pass HI; Ramakrishna N; Rom WN; Vallières E
PLoS One; 2015; 10(12):e0142484. PubMed ID: 26698306
[TBL] [Abstract][Full Text] [Related]
13. Prediction of tumour pathological subtype from genomic profile using sparse logistic regression with random effects.
Kaymaz Ö; Alqahtani K; Wood HM; Gusnanto A
J Appl Stat; 2021; 48(4):605-622. PubMed ID: 35706990
[TBL] [Abstract][Full Text] [Related]
14. Incorporating prior information with fused sparse group lasso: Application to prediction of clinical measures from neuroimages.
Beer JC; Aizenstein HJ; Anderson SJ; Krafty RT
Biometrics; 2019 Dec; 75(4):1299-1309. PubMed ID: 31022303
[TBL] [Abstract][Full Text] [Related]
15. glmgraph: an R package for variable selection and predictive modeling of structured genomic data.
Chen L; Liu H; Kocher JP; Li H; Chen J
Bioinformatics; 2015 Dec; 31(24):3991-3. PubMed ID: 26315909
[TBL] [Abstract][Full Text] [Related]
16. Order selection and sparsity in latent variable models via the ordered factor LASSO.
Hui FKC; Tanaka E; Warton DI
Biometrics; 2018 Dec; 74(4):1311-1319. PubMed ID: 29750847
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. High-dimensional Cox models: the choice of penalty as part of the model building process.
Benner A; Zucknick M; Hielscher T; Ittrich C; Mansmann U
Biom J; 2010 Feb; 52(1):50-69. PubMed ID: 20166132
[TBL] [Abstract][Full Text] [Related]
19. Quantile regression shrinkage and selection via the Lqsso.
Daneshvar A; Golalizadeh M
J Biopharm Stat; 2024 May; 34(3):297-322. PubMed ID: 37032487
[TBL] [Abstract][Full Text] [Related]
20. Favoring the hierarchical constraint in penalized survival models for randomized trials in precision medicine.
Belhechmi S; Le Teuff G; De Bin R; Rotolo F; Michiels S
BMC Bioinformatics; 2023 Mar; 24(1):96. PubMed ID: 36927444
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
