Sensitivity analysis for survival prognostic prediction with gene selection: a copula method for dependent censoring

CT Yeh, GY Liao, T Emura - Biomedicines, 2023 - mdpi.com
Sensitivity Analysis for Survival Prognostic Prediction with Gene Selection: A Copula Method for
Dependent Censoring Next Article in Journal Tissue Engineering and Targeted Drug Delivery in …

highMLR: An open-source package for R with machine learning for feature selection in high dimensional cancer clinical genome time to event data

A Bhattacharjee, GK Vishwakarma, S Banerjee… - Expert Systems with …, 2022 - Elsevier
Abstract Machine learning techniques, popularly used as a tool for dimensionality reduction
and pattern recognition of features, have been utilized extensively in data mining. In survival …

Subgroup identification of targeted therapy effects on biomarker for time to event data

GK Vishwakarma, A Bhattacharjee, F Tank… - Cancer …, 2023 - journals.sagepub.com
BACKGROUND: The initiation biomarker-driven trials have revolutionized oncology drug
development by challenging the traditional phased approach and introducing basket …