Work

BioPred: an R package for biomarkers analysis in precision medicine

Year: 2024

Type: article

Abstract: SUMMARY: The R package BioPred offers a suite of tools for subgroup and biomarker analysis in precision medicine. Leveraging Extreme Gradient Boosting (XGBoost) along with propensity score weighting and A-learning methods, BioPred facilitates the optimization of individualized treatment rules to streamline subgroup identification. BioPred also enables the identification of predictive biomarkers and obtaining their importance rankings. Moreover, the package provides graphical plots tailored for biomarker analysis. This tool enables clinical researchers seeking to enhance their understanding of biomarkers and patient population in drug development. AVAILABILITY AND IMPLEMENTATION: The package is available at CRAN and https://github.com/deeplearner0731/BioPred.

Source: Bioinformatics

DOI: 10.1093/bioinformatics/btae592

Authors: Zihuan Liu, Yan Sun, Xin Huang

Institution: AbbVie (United States)

Language: English

Topic: Statistical Methods in Clinical Trials

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $4,188