Raziur Rahman

发表

Algorithms for Drug Sensitivity Prediction

Ranadip Pal, Raziur Rahman, Carlos De Niz, 2016, Algorithms.

Predicting Power Electronics Device Reliability under Extreme Conditions with Machine Learning Algorithms pdf

Raziur Rahman, Carlos Olivares, Christopher Stankus, 2021, ArXiv.

Evaluating the consistency of large-scale pharmacogenomic studies

Ranadip Pal, Kevin Matlock, Souparno Ghosh, 2019, Briefings Bioinform..

IntegratedMRF: random forest‐based framework for integrating prediction from different data types

Ranadip Pal, Raziur Rahman, John Otridge, 2017, Bioinform..

Analyzing drug sensitivity prediction based on dose response curve characteristics

Ranadip Pal, Raziur Rahman, R. Pal, 2016, 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI).

Sequential feature selection and inference using multi‐variate random forests

Ranadip Pal, Souparno Ghosh, Raziur Rahman, 2018, Bioinform..

S1: Supplementary Information for Article: A copula based S1: Supplementary Information for Article: A copula based approach for design of multivariate random forests for drug approach for design of multivariate random forests for drug sensitivity prediction sensitivity prediction

Ranadip Pal, Souparno Ghosh, Saad Haider, 2015 .

Predictive Modeling of Anti-Cancer Drug Sensitivity from Genetic Characterizations.

Ranadip Pal, Raziur Rahman, R. Pal, 2018, Methods in molecular biology.

A mathematical framework for analyzing drug combination toxicity for personalized medicine applications

R. Pal, Raziur Rahman, 2016, 2016 IEEE Healthcare Innovation Point-Of-Care Technologies Conference (HI-POCT).

REFINED (REpresentation of Features as Images with NEighborhood Dependencies): A novel feature representation for Convolutional Neural Networks

Saugato Rahman Dhruba, R. Pal, Souparno Ghosh, 2019, ArXiv.

Heterogeneity Aware Random Forest for Drug Sensitivity Prediction

Ranadip Pal, Kevin Matlock, Souparno Ghosh, 2017, Scientific Reports.

Application of transfer learning for cancer drug sensitivity prediction

Ranadip Pal, Kevin Matlock, Souparno Ghosh, 2018, BMC Bioinformatics.

Functional random forest with applications in dose-response predictions

R. Pal, Souparno Ghosh, Raziur Rahman, 2019, Scientific Reports.

Investigation of model stacking for drug sensitivity prediction

Ranadip Pal, Kevin Matlock, Souparno Ghosh, 2017, BMC Bioinformatics.

Representation of features as images with neighborhood dependencies for compatibility with convolutional neural networks

R. Pal, Souparno Ghosh, Omid Bazgir, 2019, Nature Communications.

Holding Company Liability for Subsidiary Company – A Critical Analysis under UK Companies Act 2006.

Raziur Rahman, 2013 .

Heterogeneity Aware Random Forest for Drug Sensitivity Prediction

R. Pal, Souparno Ghosh, K. Matlock, 2017, Scientific Reports.

Functional random forest with applications in dose-response predictions

Ranadip Pal, Souparno Ghosh, Saugato Rahman Dhruba, 2019, Scientific Reports.

Recursive model for dose-time responses in pharmacological studies

Ranadip Pal, Souparno Ghosh, Saugato Rahman Dhruba, 2019, BMC Bioinformatics.

Design of Probabilistic Random Forests with Applications to Anticancer Drug Sensitivity Prediction

Ranadip Pal, Souparno Ghosh, Saad Haider, 2015, Cancer informatics.

Adaptive Multi-task Elastic Net based feature selection from Pharmacogenomics Databases

Ranadip Pal, Souparno Ghosh, Raziur Rahman, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).