Predicting potential miRNA-disease associations by combining gradient boosting decision tree with logistic regression. - Su Zhou; Shulin Wang; Qi Wu; Riasat Azim; Wen Li 009 (Comput. Biol. Chem., 2020)

CDSImpute: An ensemble similarity imputation method for single-cell RNA sequence dropouts. - Riasat Azim; Shulin Wang; Shoaib Ahmed Dipu (Comput. Biol. Medicine, 2022)

A patient-specific functional module and path identification technique from RNA-seq data. - Riasat Azim; Shulin Wang; Shoaib Ahmed Dipu; Nazmin Islam; Munshi Rezwan Ala Muid; Md. Fazla Elahe; Mei Li (Comput. Biol. Medicine, 2023)

GBDTSVM: Combined Support Vector Machine and Gradient Boosting Decision Tree Framework for efficient snoRNA-disease association prediction. - Ummay Maria Muna; Fahim Hafiz; Shanta Biswas; Riasat Azim (Comput. Biol. Medicine, 2025)

Optimizing stability of heart disease prediction across imbalanced learning with interpretable Grow Network. - Simon Bin Akter; Sumya Akter; Rakibul Hasan; Md. Mahadi Hasan; David Eisenberg 002; Riasat Azim; Jorge Eduardo Fresneda Fernandez; Tanmoy Sarkar Pias (Comput. Methods Programs Biomed., 2025)