Structural learning and integrative decomposition of multi‐view data-Reference-Cited by-同舟云学术

Structural learning and integrative decomposition of multi‐view data

Published:2019-09-15 Issue:4 Volume:75 Page:1121-1132
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biometrics

Author:

Gaynanova Irina¹^ORCID,Li Gen²^ORCID

Affiliation:

1. Department of StatisticsTexas A&M UniversityCollege Station Texas

2. Department of BiostatisticsMailman School of Public Health, Columbia UniversityNew York City New York

Publisher

Wiley

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/biom.13108

Reference22 articles.

1. SWISS MADE: Standardized WithIn Class Sum of Squares to Evaluate Methodologies and Dataset Elements

2. Comprehensive molecular portraits of human breast tumours

3. Angle-based joint and individual variation explained

4. Factorized latent spaces with structured sparsity;Jia Y.;Advances in Neural Information Processing Systems,2010

5. Group Factor Analysis

Cited by 52 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. Bayesian simultaneous factorization and prediction using multi-omic data;Computational Statistics & Data Analysis;2024-09

2. Comments on: Data integration via analysis of subspaces (DIVAS);TEST;2024-08-20

3. Pan-Cancer Drug Response Prediction Using Integrative Principal Component Regression;Statistics in Biosciences;2024-08-18

4. Graph-Guided Bayesian Factor Model for Integrative Analysis of Multi-modal Data with Noisy Network Information;Statistics in Biosciences;2024-08-11

5. Empirical Bayes linked matrix decomposition;Machine Learning;2024-08-07