High dimensional classification with combined adaptive sparse PLS and logistic regression-Reference-Cited by-同舟云学术

High dimensional classification with combined adaptive sparse PLS and logistic regression

Published:2017-09-13 Issue:3 Volume:34 Page:485-493
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Durif Ghislain¹²,Modolo Laurent¹³⁴,Michaelsson Jakob⁴,Mold Jeff E⁴,Lambert-Lacroix Sophie⁵,Picard Franck¹

Affiliation:

1. LBBE, UMR CNRS 5558, Université Lyon 1, Villeurbanne, France

2. Univ. Grenoble Alpes, Inria, CNRS, Grenoble INP, LJK, Grenoble, France

3. LBMC UMR 5239 CNRS/ENS Lyon, Lyon, France

4. Department of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden

5. UMR 5525 Université Grenoble Alpes/CNRS/TIMC-IMAG, Grenoble, France

Funder

ANR

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Link

http://academic.oup.com/bioinformatics/article-pdf/34/3/485/25117109/btx571.pdf

Reference42 articles.

1. Optimization with sparsity-inducing penalties;Bach;Found. Trends Mach. Learn,2012

2. Classification using LS-PLS with logistic regression based on both clinical and gene expression variables;Bazzoli;Preprint,2016

3. PLS dimension reduction for classification with microarray data;Boulesteix;Statist. Appl. Genet. Mol. Biol,2004

4. Partial least squares: a versatile tool for the analysis of high-dimensional genomic data;Boulesteix;Brief. Bioinform,2007

Cited by 23 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Variable Selection in the General Linear Model;Biological Data Integration;2023-12-08

2. Skeleton estimation of directed acyclic graphs using partial least squares from correlated data;Pattern Recognition;2023-07

3. Dual-sPLS: A family of Dual Sparse Partial Least Squares regressions for feature selection and prediction with tunable sparsity; evaluation on simulated and near-infrared (NIR) data;Chemometrics and Intelligent Laboratory Systems;2023-06

4. Response mixture models based on supervised components: Clustering floristic taxa;Statistical Modelling;2022-09-05

5. Computational identification of new potential transcriptional partners of ERRα in breast cancer cells: specific partners for specific targets;Scientific Reports;2022-03-09