Contrastive latent variable modeling with application to case-control sequencing experiments
From MaRDI portal
Publication:2170381
DOI10.1214/21-AOAS1534zbMath1498.62228arXiv2102.06731OpenAlexW3131858063MaRDI QIDQ2170381
Publication date: 5 September 2022
Published in: The Annals of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2102.06731
Applications of statistics to biology and medical sciences; meta analysis (62P10) Hypothesis testing in multivariate analysis (62H15)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Two sample tests for high-dimensional covariance matrices
- Testing the equality of several covariance matrices with fewer observations than the dimension
- Multivariate analysis and Jacobi ensembles: largest eigenvalue, Tracy-Widom limits and rates of convergence
- Testing high-dimensional covariance matrices, with application to detecting schizophrenia risk genes
- Equality tests of high-dimensional covariance matrices under the strongly spiked eigenvalue model
- A general framework for multiple testing dependence
- Two-sample tests for high-dimension, strongly spiked eigenvalue models
- Bayes Factors
- Two-Sample Covariance Matrix Testing and Support Recovery in High-Dimensional and Sparse Settings
- Testing differential networks with applications to the detection of gene-gene interactions
This page was built for publication: Contrastive latent variable modeling with application to case-control sequencing experiments