100 related articles for article (PubMed ID: 37066143)
1. asmbPLS: Adaptive Sparse Multi-block Partial Least Square for Survival Prediction using Multi-Omics Data.
Zhang R; Datta S
bioRxiv; 2023 Apr; ():. PubMed ID: 37066143
[TBL] [Abstract][Full Text] [Related]
2. Adaptive Sparse Multi-Block PLS Discriminant Analysis: An Integrative Method for Identifying Key Biomarkers from Multi-Omics Data.
Zhang R; Datta S
Genes (Basel); 2023 Apr; 14(5):. PubMed ID: 37239321
[TBL] [Abstract][Full Text] [Related]
3. IPF-LASSO: Integrative
Boulesteix AL; De Bin R; Jiang X; Fuchs M
Comput Math Methods Med; 2017; 2017():7691937. PubMed ID: 28546826
[TBL] [Abstract][Full Text] [Related]
4. Block Forests: random forests for blocks of clinical and omics covariate data.
Hornung R; Wright MN
BMC Bioinformatics; 2019 Jun; 20(1):358. PubMed ID: 31248362
[TBL] [Abstract][Full Text] [Related]
5. Multi-agent Feature Selection for Integrative Multi-omics Analysis.
Tabakhi S; Lu H
Annu Int Conf IEEE Eng Med Biol Soc; 2022 Jul; 2022():1638-1642. PubMed ID: 36086594
[TBL] [Abstract][Full Text] [Related]
6. Sparse generalized linear model with
Liu Z; Sun F; McGovern DP
BioData Min; 2017; 10():39. PubMed ID: 29270229
[TBL] [Abstract][Full Text] [Related]
7. Performance of PLS regression coefficients in selecting variables for each response of a multivariate PLS for omics-type data.
Palermo G; Piraino P; Zucht HD
Adv Appl Bioinform Chem; 2009; 2():57-70. PubMed ID: 21918616
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Large-scale benchmark study of survival prediction methods using multi-omics data.
Herrmann M; Probst P; Hornung R; Jurinovic V; Boulesteix AL
Brief Bioinform; 2021 May; 22(3):. PubMed ID: 32823283
[TBL] [Abstract][Full Text] [Related]
10. Super.FELT: supervised feature extraction learning using triplet loss for drug response prediction with multi-omics data.
Park S; Soh J; Lee H
BMC Bioinformatics; 2021 May; 22(1):269. PubMed ID: 34034645
[TBL] [Abstract][Full Text] [Related]
11. Multi-kernel linear mixed model with adaptive lasso for prediction analysis on high-dimensional multi-omics data.
Li J; Lu Q; Wen Y
Bioinformatics; 2020 Mar; 36(6):1785-1794. PubMed ID: 31693075
[TBL] [Abstract][Full Text] [Related]
12. A penalized linear mixed model with generalized method of moments for prediction analysis on high-dimensional multi-omics data.
Wang X; Wen Y
Brief Bioinform; 2022 Jul; 23(4):. PubMed ID: 35649346
[TBL] [Abstract][Full Text] [Related]
13. Min-redundancy and max-relevance multi-view feature selection for predicting ovarian cancer survival using multi-omics data.
El-Manzalawy Y; Hsieh TY; Shivakumar M; Kim D; Honavar V
BMC Med Genomics; 2018 Sep; 11(Suppl 3):71. PubMed ID: 30255801
[TBL] [Abstract][Full Text] [Related]
14. Benchmark study of feature selection strategies for multi-omics data.
Li Y; Mansmann U; Du S; Hornung R
BMC Bioinformatics; 2022 Oct; 23(1):412. PubMed ID: 36199022
[TBL] [Abstract][Full Text] [Related]
15. Multi-Omics Integration in a Twin Cohort and Predictive Modeling of Blood Pressure Values.
Drouard G; Ollikainen M; Mykkänen J; Raitakari O; Lehtimäki T; Kähönen M; Mishra PP; Wang X; Kaprio J
OMICS; 2022 Mar; 26(3):130-141. PubMed ID: 35259029
[TBL] [Abstract][Full Text] [Related]
16. A sparse PLS for variable selection when integrating omics data.
Lê Cao KA; Rossouw D; Robert-Granié C; Besse P
Stat Appl Genet Mol Biol; 2008; 7(1):Article 35. PubMed ID: 19049491
[TBL] [Abstract][Full Text] [Related]
17. PathME: pathway based multi-modal sparse autoencoders for clustering of patient-level multi-omics data.
Lemsara A; Ouadfel S; Fröhlich H
BMC Bioinformatics; 2020 Apr; 21(1):146. PubMed ID: 32299344
[TBL] [Abstract][Full Text] [Related]
18. Integrating multi-OMICS data through sparse canonical correlation analysis for the prediction of complex traits: a comparison study.
Rodosthenous T; Shahrezaei V; Evangelou M
Bioinformatics; 2020 Nov; 36(17):4616-4625. PubMed ID: 32437529
[TBL] [Abstract][Full Text] [Related]
19. Multi-omics facilitated variable selection in Cox-regression model for cancer prognosis prediction.
Liu C; Wang X; Genchev GZ; Lu H
Methods; 2017 Jul; 124():100-107. PubMed ID: 28627406
[TBL] [Abstract][Full Text] [Related]
20. Obtaining insights from high-dimensional data: sparse principal covariates regression.
Van Deun K; Crompvoets EAV; Ceulemans E
BMC Bioinformatics; 2018 Mar; 19(1):104. PubMed ID: 29587627
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
