| Representation of features as images with neighborhood dependencies for compatibility with convolutional neural networks O Bazgir, R Zhang, SR Dhruba, R Rahman, S Ghosh, R Pal Nature communications 11 (1), 1-13, 2020 | 133 | 2020 |
| Functional random forest with applications in dose-response predictions R Rahman, SR Dhruba, S Ghosh, R Pal Scientific reports 9 (1), 1628, 2019 | 73 | 2019 |
| Application of transfer learning for cancer drug sensitivity prediction SR Dhruba, R Rahman, K Matlock, S Ghosh, R Pal BMC bioinformatics 19, 51-63, 2018 | 42 | 2018 |
| LORIS robustly predicts patient outcomes with immune checkpoint blockade therapy using common clinical, pathologic and genomic features TG Chang, Y Cao, HJ Sfreddo, SR Dhruba, SH Lee, C Valero, SK Yoo, ... Nature Cancer 5 (8), 1158-1175, 2024 | 29 | 2024 |
| PERCEPTION predicts patient response and resistance to treatment using single-cell transcriptomics of their tumors S Sinha, R Vegesna, S Mukherjee, AV Kammula, SR Dhruba, W Wu, ... Nature Cancer 5 (6), 938-952, 2024 | 25 | 2024 |
| Evaluating the consistency of large-scale pharmacogenomic studies R Rahman, SR Dhruba, K Matlock, C De-Niz, S Ghosh, R Pal Briefings in Bioinformatics 20 (5), 1734-1753, 2019 | 16 | 2019 |
| Integrated multiomics analysis identifies molecular landscape perturbations during hyperammonemia in skeletal muscle and myotubes N Welch, SS Singh, A Kumar, SR Dhruba, S Mishra, J Sekar, A Bellar, ... Journal of Biological Chemistry 297 (3), 2021 | 15 | 2021 |
| Active shooter detection in multiple-person scenario using RF-based machine vision O Bazgir, D Nolte, SR Dhruba, Y Li, C Li, S Ghosh, R Pal IEEE Sensors Journal 21 (3), 3609-3622, 2020 | 12 | 2020 |
| Tuning force field parameters of ionic liquids using machine learning techniques R Islam, MF Kabir, SR Dhruba, K Afroz Computational Materials Science 200, 110759, 2021 | 10 | 2021 |
| Recursive model for dose-time responses in pharmacological studies SR Dhruba, A Rahman, R Rahman, S Ghosh, R Pal BMC bioinformatics 20, 1-12, 2019 | 7 | 2019 |
| Dimensionality reduction based transfer learning applied to pharmacogenomics databases SR Dhruba, R Rahmanl, K Matlockl, S Ghosh, R Pal 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 7 | 2018 |
| An investigation of proteomic data for application in precision medicine K Matlock, SR Dhruba, M Nazir, R Pal 2018 IEEE EMBS International Conference on Biomedical & Health Informatics …, 2018 | 4 | 2018 |
| Predicting patient treatment response and resistance via single-cell transcriptomics of their tumors S Sinha, R Vegesna, SR Dhruba, W Wu, DL Kerr, OV Stroganov, ... bioRxiv, 2022.01. 11.475728, 2022 | 3 | 2022 |
| A machine learning model reveals expansive downregulation of ligand-receptor interactions that enhance lymphocyte infiltration in melanoma with developed resistance to immune … S Sahni, B Wang, D Wu, SR Dhruba, M Nagy, S Patkar, I Ferreira, CP Day, ... Nature Communications 15 (1), 8867, 2024 | 1 | 2024 |
| Deactivation of ligand-receptor interactions enhancing lymphocyte infiltration drives melanoma resistance to Immune Checkpoint Blockade S Sahni, B Wang, D Wu, SR Dhruba, M Nagy, S Patkar, I Ferreira, K Wang, ... bioRxiv, 2023 | 1 | 2023 |
| Application of advanced machine learning based approaches in cancer precision medicine SR Dhruba | 1 | 2021 |
| Abstract B065: Deep learning inference of the gene expression of specific cell types from histopathology of breast tumors AT Wang, SR Dhruba, K Wang, ED Shulman, E Ruppin Cancer Immunology Research 13 (2_Supplement), B065-B065, 2025 | | 2025 |
| Path2Omics: Enhanced transcriptomic and methylation prediction accuracy from tumor histopathology DT Hoang, ED Shulman, SR Dhruba, NU Nair, RK Barman, ... bioRxiv, 2025.02. 26.640189, 2025 | | 2025 |
| ecPath detects ecDNA in tumors from histopathology images M Choudhury, L Liu, A Yadav, O Chapman, Z Ahmadi, R Younis, ... bioRxiv, 2024.11. 13.623494, 2024 | | 2024 |
| IMMClock reveals immune aging and T cell function at single-cell resolution YG Schmidt, D Wu, S Madan, S Sinha, S Sahni, V Gopalan, B Wang, ... bioRxiv, 2024.11. 13.623449, 2024 | | 2024 |
Eytan RuppinChief, Cancer Data Science Lab (CDSL), NCI/NIHVerified email at nih.gov
