Regression-based heterogeneity analysis to identify overlapping subgroup structure in high-dimensional data
Project description
heteroverlap
This project is used for regression-based heterogeneity analysis to identify overlapping subgroup structure in high-dimensional data. For more details, check our paper.
Installation
- Install the package from pypi or
pip install tifresi
- from source
git clone https://github.com/foliag/subgroup cd subgroup pip install .
License & citation
The content of this repository is released under the terms of the MIT license. Please consider citing our paper if you use it.
@article{luo2022regression,
author = {Luo, Ziye and Yao, Xinyue and Sun, Yifan and Fan, Xinyan},
title = {Regression-based heterogeneity analysis to identify overlapping subgroup structure in high-dimensional data},
journal = {Biometrical Journal},
volume = {n/a},
number = {n/a},
pages = {},
keywords = {heterogeneity analysis, high-dimensional data, overlapping subgroup structure, penalization, regression},
doi = {https://doi.org/10.1002/bimj.202100119},
url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/bimj.202100119},
eprint = {https://onlinelibrary.wiley.com/doi/pdf/10.1002/bimj.202100119}
}
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