Integrative analysis with a system of semiparametric projection non-linear regression models

DOI10.1515/IJB-2019-0124MaRDI QIDQ6636007

Tianmin Wu, Hong-Bin Fang, Ao Yuan, Ming T. Tan

Publication date: 12 November 2024

Published in: The International Journal of Biostatistics (Search for Journal in Brave)

zbMATH Keywords

integrative analysisomics datainnate coordinate structuresemiparametric projection non-linear regression model

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

• Title not available (Why is that?)
• Title not available (Why is that?)
• Sparse inverse covariance estimation with the graphical lasso
• Combining isotonic regression and EM algorithm to predict genetic risk under monotonicity constraint
• Active set algorithms for isotonic regression; a unifying framework
• Weak convergence and empirical processes. With applications to statistics
• Sparse integrative clustering of multiple omics data sets
• Model selection and estimation in the Gaussian graphical model
• Introduction to Graphical Modelling
• An Efficient Semiparametric Estimator for Binary Response Models
• High-Dimensional Gaussian Graphical Model Selection: Walk Summability and Local Separation Criterion
• Integrative analysis of `-omics' data using penalty functions

This page was built for publication: Integrative analysis with a system of semiparametric projection non-linear regression models

Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6636007)