Analyzing drug sensitivity prediction based on dose response curve characteristics. - Raziur Rahman; Ranadip Pal (BHI, 2016)

Algorithms for Drug Sensitivity Prediction. - Carlos De Niz; Raziur Rahman; Xiangyuan Zhao; Ranadip Pal (Algorithms, 2016)

IntegratedMRF: random forest-based framework for integrating prediction from different data types. - Raziur Rahman; John Otridge; Ranadip Pal (Bioinform., 2017)

Dimensionality Reduction based Transfer Learning applied to Pharmacogenomics Databases. - Saugato Rahman Dhruba; Raziur Rahman; Kevin Matlock; Souparno Ghosh; Ranadip Pal (EMBC, 2018)

Adaptive Multi-task Elastic Net based feature selection from Pharmacogenomics Databases. - Raziur Rahman; Chamila Perera; Souparno Ghosh; Ranadip Pal (EMBC, 2018)

Sequential feature selection and inference using multi-variate random forests. - Joshua Mayer; Raziur Rahman; Souparno Ghosh; Ranadip Pal (Bioinform., 2018)

Application of transfer learning for cancer drug sensitivity prediction. - Saugato Rahman Dhruba; Raziur Rahman; Kevin Matlock; Souparno Ghosh; Ranadip Pal (BMC Bioinform., 2018)

Investigation of model stacking for drug sensitivity prediction. - Kevin Matlock; Carlos De Niz; Raziur Rahman; Souparno Ghosh; Ranadip Pal (BMC Bioinform., 2018)

Evaluating the consistency of large-scale pharmacogenomic studies. - Raziur Rahman; Saugato Rahman Dhruba; Kevin Matlock; Carlos De Niz; Souparno Ghosh; Ranadip Pal (Briefings Bioinform., 2019)

Sstack: an R package for stacking with applications to scenarios involving sequential addition of samples and features. - Kevin Matlock; Raziur Rahman; Souparno Ghosh; Ranadip Pal (Bioinform., 2019)

Recursive model for dose-time responses in pharmacological studies. - Saugato Rahman Dhruba; Aminur Rahman; Raziur Rahman; Souparno Ghosh; Ranadip Pal (BMC Bioinform., 2019)

REFINED (REpresentation of Features as Images with NEighborhood Dependencies): A novel feature representation for Convolutional Neural Networks. - Omid Bazgir; Ruibo Zhang; Saugato Rahman Dhruba; Raziur Rahman; Souparno Ghosh; Ranadip Pal (CoRR, 2019)

Predicting Power Electronics Device Reliability under Extreme Conditions with Machine Learning Algorithms. - Carlos Olivares; Raziur Rahman; Christopher Stankus; Jade Hampton; Andrew Zedwick; Moinuddin Ahmed (CoRR, 2021)