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Algorithm

HhP: Hierarchical heterogeneity analysis via penalization

Maintainer

Mingyang Ren renmingyang17@mails.ucas.ac.cn

Publication

Mingyang Ren, Qingzhao Zhang, Sanguo Zhang, Tingyan Zhong, Jian Huang, Shuangge Ma. 2020. Hierarchical Cancer Heterogeneity Analysis Based On Histopathological Imaging Features. Manuscript.

Usage

  1. function.R: This file includes all main functions to implement the proposed method. Detailed descriptions and usage of these functions are also provided in this R file.

  2. sim-func.R: This file includes functions for generating simulated data and evaluating performances of the proposed method.

  3. main.R: This file is used to conduct simulation studies.

  4. LUAD.R: This file is used to perform hierarchical heterogeneity analysis for the LUAD image data.

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Hierarchical heterogeneity analysis via penalization

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