LRBmat: a novel gut microbial interaction and individual heterogeneity inference method for colorectal cancer
From MaRDI portal
Publication:6136943
DOI10.1016/j.jtbi.2023.111538zbMath1520.92024arXiv2303.07498OpenAlexW4378639246MaRDI QIDQ6136943
No author found.
Publication date: 31 August 2023
Published in: Journal of Theoretical Biology (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2303.07498
colorectal cancerindividual heterogeneityassociation rule mininggut microbiotabiomedical classificationgut microbial interactions
Cites Work
- Selective association rule generator
- Two-sample test for compositional data with ball divergence
- Logistic regression: from art to science
- Nonlinear predictive directions in clinical trials
- Powerful Tests for Detecting a Gene Effect in the Presence of Possible Gene-Gene Interactions Using Garrote Kernel Machines
- Inference for Proportions in a 2 × 2 Contingency Table: HPD or not HPD?
- Estimating Individualized Treatment Rules Using Outcome Weighted Learning
- Interpreting Parameters in the Logistic Regression Model with Random Effects
- A Simple Method for Estimating Interactions Between a Treatment and a Large Number of Covariates
- Some contributions to practice of 2 × 2 contingency tables
- Scalable estimation and regularization for the logistic normal multinomial model
- Testing interaction between treatment and high‐dimensional covariates in randomized clinical trials
- Two-sample tests of high-dimensional means for compositional data
- A Logistic Normal Multinomial Regression Model for Microbiome Compositional Data Analysis
This page was built for publication: LRBmat: a novel gut microbial interaction and individual heterogeneity inference method for colorectal cancer