142 related articles for article (PubMed ID: 26358727)
1. 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]
2. 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]
3. integrOmics: an R package to unravel relationships between two omics datasets.
Lê Cao KA; González I; Déjean S
Bioinformatics; 2009 Nov; 25(21):2855-6. PubMed ID: 19706745
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Sparse partial least squares with group and subgroup structure.
Sutton M; Thiébaut R; Liquet B
Stat Med; 2018 Oct; 37(23):3338-3356. PubMed ID: 29888397
[TBL] [Abstract][Full Text] [Related]
6. Penalized co-inertia analysis with applications to -omics data.
Min EJ; Safo SE; Long Q
Bioinformatics; 2019 Mar; 35(6):1018-1025. PubMed ID: 30165424
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. 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]
9. 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]
10. Multiset sparse partial least squares path modeling for high dimensional omics data analysis.
Csala A; Zwinderman AH; Hof MH
BMC Bioinformatics; 2020 Jan; 21(1):9. PubMed ID: 31918677
[TBL] [Abstract][Full Text] [Related]
11. Statistical integration of two omics datasets using GO2PLS.
Gu Z; El Bouhaddani S; Pei J; Houwing-Duistermaat J; Uh HW
BMC Bioinformatics; 2021 Mar; 22(1):131. PubMed ID: 33736604
[TBL] [Abstract][Full Text] [Related]
12. Classification based on extensions of LS-PLS using logistic regression: application to clinical and multiple genomic data.
Bazzoli C; Lambert-Lacroix S
BMC Bioinformatics; 2018 Sep; 19(1):314. PubMed ID: 30189832
[TBL] [Abstract][Full Text] [Related]
13. Integrative sparse partial least squares.
Liang W; Ma S; Zhang Q; Zhu T
Stat Med; 2021 Apr; 40(9):2239-2256. PubMed ID: 33559203
[TBL] [Abstract][Full Text] [Related]
14. Predicting soft tissue changes after orthognathic surgery:
Suh HY; Lee HJ; Lee YS; Eo SH; Donatelli RE; Lee SJ
Angle Orthod; 2019 Nov; 89(6):910-916. PubMed ID: 31144998
[TBL] [Abstract][Full Text] [Related]
15. Sparse partial least squares classification for high dimensional data.
Chung D; Keles S
Stat Appl Genet Mol Biol; 2010; 9(1):Article17. PubMed ID: 20361856
[TBL] [Abstract][Full Text] [Related]
16. Multivariate analysis of neuronal interactions in the generalized partial least squares framework: simulations and empirical studies.
Lin FH; McIntosh AR; Agnew JA; Eden GF; Zeffiro TA; Belliveau JW
Neuroimage; 2003 Oct; 20(2):625-42. PubMed ID: 14568440
[TBL] [Abstract][Full Text] [Related]
17. Sparse Partial Least Squares Methods for Joint Modular Pattern Discovery.
Chen J; Zhang S
Methods Mol Biol; 2020; 2082():173-186. PubMed ID: 31849015
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. A multiple hold-out framework for Sparse Partial Least Squares.
Monteiro JM; Rao A; Shawe-Taylor J; Mourão-Miranda J;
J Neurosci Methods; 2016 Sep; 271():182-94. PubMed ID: 27353722
[TBL] [Abstract][Full Text] [Related]
20.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
[Next] [New Search]