840 related articles for article (PubMed ID: 25286920)
1. Deviance residuals-based sparse PLS and sparse kernel PLS regression for censored data.
Bastien P; Bertrand F; Meyer N; Maumy-Bertrand M
Bioinformatics; 2015 Feb; 31(3):397-404. PubMed ID: 25286920
[TBL] [Abstract][Full Text] [Related]
2. Fitting and Cross-Validating Cox Models to Censored Big Data With Missing Values Using Extensions of Partial Least Squares Regression Models.
Bertrand F; Maumy-Bertrand M
Front Big Data; 2021; 4():684794. PubMed ID: 34790895
[TBL] [Abstract][Full Text] [Related]
3. Sparse partial least-squares regression for high-throughput survival data analysis.
Lee D; Lee Y; Pawitan Y; Lee W
Stat Med; 2013 Dec; 32(30):5340-52. PubMed ID: 24105836
[TBL] [Abstract][Full Text] [Related]
4. Benefits of dimension reduction in penalized regression methods for high-dimensional grouped data: a case study in low sample size.
Ajana S; Acar N; Bretillon L; Hejblum BP; Jacqmin-Gadda H; Delcourt C;
Bioinformatics; 2019 Oct; 35(19):3628-3634. PubMed ID: 30931473
[TBL] [Abstract][Full Text] [Related]
5. Penalized Cox regression analysis in the high-dimensional and low-sample size settings, with applications to microarray gene expression data.
Gui J; Li H
Bioinformatics; 2005 Jul; 21(13):3001-8. PubMed ID: 15814556
[TBL] [Abstract][Full Text] [Related]
6. Partial least squares dimension reduction for microarray gene expression data with a censored response.
Nguyen DV
Math Biosci; 2005 Jan; 193(1):119-37. PubMed ID: 15681279
[TBL] [Abstract][Full Text] [Related]
7. Bayesian regression models outperform partial least squares methods for predicting milk components and technological properties using infrared spectral data.
Ferragina A; de los Campos G; Vazquez AI; Cecchinato A; Bittante G
J Dairy Sci; 2015 Nov; 98(11):8133-51. PubMed ID: 26387015
[TBL] [Abstract][Full Text] [Related]
8. High dimensional classification with combined adaptive sparse PLS and logistic regression.
Durif G; Modolo L; Michaelsson J; Mold JE; Lambert-Lacroix S; Picard F
Bioinformatics; 2018 Feb; 34(3):485-493. PubMed ID: 28968879
[TBL] [Abstract][Full Text] [Related]
9. Predicting survival from microarray data--a comparative study.
Bøvelstad HM; Nygård S; Størvold HL; Aldrin M; Borgan Ø; Frigessi A; Lingjaerde OC
Bioinformatics; 2007 Aug; 23(16):2080-7. PubMed ID: 17553857
[TBL] [Abstract][Full Text] [Related]
10. Group and sparse group partial least square approaches applied in genomics context.
Liquet B; de Micheaux PL; Hejblum BP; Thiébaut R
Bioinformatics; 2016 Jan; 32(1):35-42. PubMed ID: 26358727
[TBL] [Abstract][Full Text] [Related]
11. Gradient lasso for Cox proportional hazards model.
Sohn I; Kim J; Jung SH; Park C
Bioinformatics; 2009 Jul; 25(14):1775-81. PubMed ID: 19447787
[TBL] [Abstract][Full Text] [Related]
12. NCC-AUC: an AUC optimization method to identify multi-biomarker panel for cancer prognosis from genomic and clinical data.
Zou M; Liu Z; Zhang XS; Wang Y
Bioinformatics; 2015 Oct; 31(20):3330-8. PubMed ID: 26092859
[TBL] [Abstract][Full Text] [Related]
13. A surrogate ℓ
Kawaguchi ES; Suchard MA; Liu Z; Li G
Stat Med; 2020 Mar; 39(6):675-686. PubMed ID: 31814146
[TBL] [Abstract][Full Text] [Related]
14. Sparse kernel methods for high-dimensional survival data.
Evers L; Messow CM
Bioinformatics; 2008 Jul; 24(14):1632-8. PubMed ID: 18515276
[TBL] [Abstract][Full Text] [Related]
15. biospear: an R package for biomarker selection in penalized Cox regression.
Ternès N; Rotolo F; Michiels S
Bioinformatics; 2018 Jan; 34(1):112-113. PubMed ID: 28927242
[TBL] [Abstract][Full Text] [Related]
16. Partial least squares Cox regression for genome-wide data.
Nygård S; Borgan O; Lingjaerde OC; Størvold HL
Lifetime Data Anal; 2008 Jun; 14(2):179-95. PubMed ID: 18188699
[TBL] [Abstract][Full Text] [Related]
17. Optimized application of penalized regression methods to diverse genomic data.
Waldron L; Pintilie M; Tsao MS; Shepherd FA; Huttenhower C; Jurisica I
Bioinformatics; 2011 Dec; 27(24):3399-406. PubMed ID: 22156367
[TBL] [Abstract][Full Text] [Related]
18. L1 penalized estimation in the Cox proportional hazards model.
Goeman JJ
Biom J; 2010 Feb; 52(1):70-84. PubMed ID: 19937997
[TBL] [Abstract][Full Text] [Related]
19. Identification of clinically relevant features in hypertensive patients using penalized regression: a case study of cardiovascular events.
Garcia-Carretero R; Barquero-Perez O; Mora-Jimenez I; Soguero-Ruiz C; Goya-Esteban R; Ramos-Lopez J
Med Biol Eng Comput; 2019 Sep; 57(9):2011-2026. PubMed ID: 31346948
[TBL] [Abstract][Full Text] [Related]
20. Predicting patient survival from microarray data by accelerated failure time modeling using partial least squares and LASSO.
Datta S; Le-Rademacher J; Datta S
Biometrics; 2007 Mar; 63(1):259-71. PubMed ID: 17447952
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]