- D. Bandara, L. Ellingson, R. Rahman, S. Ghosh, R. Pal, "A Neighborhood Hypothesis Test for Investigating Agreement in Drug Sensitivity Profiles Between Pharmacogenomic Databases" Biometrics, in revision (Impact Factor 1.82).
- K. Matlock, R. Rahman, S. Ghosh, R. Pal, "Sstack : An R Package for Stacking with Applications to Scenarios Involving Sequential Addition of Samples and Features." Bioinformatics, accepted (Impact Factor 5.48).
- R. Rahman, S. Ghosh, R. Pal, "Functional Random Forests with applications in dose response predictions" Scientific Reports, accepted (Impact Factor 4.12).
- S.R. Dhruba, A. Rahman, R. Rahman, S. Ghosh, R. Pal, "Recursive Model for Dose-time Responses in Pharmacological Studies." BMC Bioinformatics, accepted (Impact Factor 2.21).
- R. Rahman, S.R. Dhruba, K. Matlock, C. De-niz, S. Ghosh, R. Pal, "Evaluating the consistency of large-scale pharmacogenomic studies" Briefing in Bioinformatics, published (Impact Factor 6.30).
- S.R. Dhruba, R. Rahman, K. Matlock, S. Ghosh, R. Pal, "Application of Transfer Learning for Cancer Drug Sensitivity Prediction" BMC Bioinformatics, 2018, 19 (Suppl 17) :497 (Impact Factor 2.48).
- J. Mayer, R. Rahman, S. Ghosh, R. Pal, "Sequential Feature Selection and Inference using Multivariate Random Forests" Bioinformatics, 34 (8), 1336-1344 (Impact Factor 7.30).
- R. Rahman, K. Matlock, S. Ghosh, R. Pal, "Heterogeneity Aware Random Forest for Drug Sensitivity Prediction",Scientific Reports, 7.1 (2017): 11347 (Impact Factor 4.25).
- 5. K. Matlock, C. De-Niz, R. Rahman, S. Ghosh, R. Pal, "Investigation of Model Stacking for Drug Sensitivity Prediction" BMC Bioinformatics, 19 (3), 71 (Impact Factor 2.48).
- R. Rahman, J. Otridge, R. Pal, "IntegratedMRF: Random Forest based framework for integrating prediction from different data types", Bioinformatics, 33.9 (2017): 1407-1410 (Impact Factor 7.30). [IntegratedMRF package]
- R. Rahman†, C. De-Niz†, X. Zhao, R. Pal, "Algorithms for Drug Sensitivity Prediction", Algorithms (MDPI), 2016, 9(4),77; doi: 10.3390/a9040077 (Impact Factor 1.44).
- R. Rahman, S. Haider, S. Ghosh, R. Pal, "Design of Probabilistic Random Forests with Applications to Anticancer Drug Sensitivity Prediction", Cancer informatics, 14(Suppl 5)-2015, 57 (Impact Factor 1.62).
- S. Haider, R. Rahman, S. Ghosh, R. Pal, "A copula based approach for design of multivariate random forests for drug sensitivity prediction", PloS one, 10(12)-2015, e0144490 (Impact Factor 3.28).