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GitHub / jasa-acs / Bayesian-Hierarchical-Varying-sparsity-Regression-Models-with-Application-to-Cancer-Proteogenomics

Reproducibility materials for "Bayesian Hierarchical Varying-sparsity Regression Models with Application to Cancer Proteogenomics" by Yang Ni, Francesco C. Stingo, Min Jin Ha, Rehan Akbani & Veerabhadran Baladandayuthapani

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jasa-acs%2FBayesian-Hierarchical-Varying-sparsity-Regression-Models-with-Application-to-Cancer-Proteogenomics
PURL: pkg:github/jasa-acs/Bayesian-Hierarchical-Varying-sparsity-Regression-Models-with-Application-to-Cancer-Proteogenomics

Stars: 2
Forks: 2
Open issues: 0

License: None
Language: Matlab
Size: 157 KB
Dependencies parsed at: Pending

Created at: over 7 years ago
Updated at: almost 2 years ago
Pushed at: almost 7 years ago
Last synced at: almost 2 years ago

Topics: p-splines, precision-medicine, prognostic-biomarkers, threshold, tumor-heterogeneity

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