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Ranadip Pal, Ph.D. - Publications

Affiliations: 
2007 Texas A & M University, College Station, TX, United States 
Area:
Electronics and Electrical Engineering
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46 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Yoon BJ, Qian X, Kahveci T, Pal R. Selected Research Articles from the 2019 International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC). Bmc Genomics. 21: 584. PMID 32900374 DOI: 10.1186/S12864-020-06934-Y  0.364
2020 Bazgir O, Zhang R, Dhruba SR, Rahman R, Ghosh S, Pal R. Representation of features as images with neighborhood dependencies for compatibility with convolutional neural networks. Nature Communications. 11: 4391. PMID 32873806 DOI: 10.1038/S41467-020-18197-Y  0.325
2019 Rahman R, Dhruba SR, Matlock K, De-Niz C, Ghosh S, Pal R. Evaluating the consistency of large-scale pharmacogenomic studies. Briefings in Bioinformatics. 20: 1734-1753. PMID 31846027 DOI: 10.1093/Bib/Bby046  0.312
2019 Yoon BJ, Qian X, Kahveci T, Pal R. Selected research articles from the 2018 International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC). Bmc Bioinformatics. 20: 316. PMID 31217001 DOI: 10.1186/S12859-019-2830-5  0.364
2019 Berlow NE, Rikhi R, Geltzeiler M, Abraham J, Svalina MN, Davis LE, Wise E, Mancini M, Noujaim J, Mansoor A, Quist MJ, Matlock KL, Goros MW, Hernandez BS, Doung YC, ... ... Pal R, et al. Probabilistic modeling of personalized drug combinations from integrated chemical screen and molecular data in sarcoma. Bmc Cancer. 19: 593. PMID 31208434 DOI: 10.1186/S12885-019-5681-6  0.316
2019 Rahman R, Dhruba SR, Ghosh S, Pal R. Functional random forest with applications in dose-response predictions. Scientific Reports. 9: 1628. PMID 30733524 DOI: 10.1038/S41598-018-38231-W  0.303
2019 Matlock K, Rahman R, Ghosh S, Pal R. Sstack: An R Package for Stacking with Applications to Scenarios Involving Sequential Addition of Samples and Features. Bioinformatics (Oxford, England). PMID 30649230 DOI: 10.1093/Bioinformatics/Btz010  0.329
2019 Rahman R, Pal R. Predictive Modeling of Anti-Cancer Drug Sensitivity from Genetic Characterizations. Methods in Molecular Biology (Clifton, N.J.). 1878: 227-241. PMID 30378080 DOI: 10.1007/978-1-4939-8868-6_14  0.328
2018 Dhruba SR, Rahman R, Matlock K, Ghosh S, Pal R. Application of transfer learning for cancer drug sensitivity prediction. Bmc Bioinformatics. 19: 497. PMID 30591023 DOI: 10.1186/S12859-018-2465-Y  0.31
2018 Matlock K, De Niz C, Rahman R, Ghosh S, Pal R. Investigation of model stacking for drug sensitivity prediction. Bmc Bioinformatics. 19: 71. PMID 29589559 DOI: 10.1186/S12859-018-2060-2  0.346
2018 Yoon BJ, Qian X, Kahveci T, Pal R. Selected research articles from the 2017 International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC). Bmc Bioinformatics. 19: 69. PMID 29589557 DOI: 10.1186/S12859-018-2058-9  0.364
2018 Ghosh BK, Datta A, Pal R. Deep Sequencing Data Analysis Ieee/Acm Transactions On Computational Biology and Bioinformatics. 15: 482-483. DOI: 10.1109/Tcbb.2018.2805179  0.427
2018 Rahman A, Ghosh S, Pal R. Modeling of drug diffusion in a solid tumor leading to tumor cell death Physical Review E. 98. DOI: 10.1103/Physreve.98.062408  0.319
2017 Rahman R, Matlock K, Ghosh S, Pal R. Heterogeneity Aware Random Forest for Drug Sensitivity Prediction. Scientific Reports. 7: 11347. PMID 28900181 DOI: 10.1038/S41598-017-11665-4  0.331
2017 Matlock K, Berlow N, Keller C, Pal R. Combination therapy design for maximizing sensitivity and minimizing toxicity. Bmc Bioinformatics. 18: 116. PMID 28361667 DOI: 10.1186/S12859-017-1523-1  0.307
2017 Rahman R, Otridge J, Pal R. IntegratedMRF: random forest-based framework for integrating prediction from different data types. Bioinformatics (Oxford, England). PMID 28334269 DOI: 10.1093/Bioinformatics/Btw765  0.331
2016 De Niz C, Rahman R, Zhao X, Pal R. Algorithms for Drug Sensitivity Prediction Algorithms. 9: 77. DOI: 10.3390/A9040077  0.369
2015 Rahman R, Haider S, Ghosh S, Pal R. Design of Probabilistic Random Forests with Applications to Anticancer Drug Sensitivity Prediction. Cancer Informatics. 14: 57-73. PMID 27081304 DOI: 10.4137/Cin.S30794  0.304
2015 Haider S, Rahman R, Ghosh S, Pal R. A Copula Based Approach for Design of Multivariate Random Forests for Drug Sensitivity Prediction. Plos One. 10: e0144490. PMID 26658256 DOI: 10.1371/Journal.Pone.0144490  0.361
2015 Halvorson KG, Barton KL, Schroeder K, Misuraca KL, Hoeman C, Chung A, Crabtree DM, Cordero FJ, Singh R, Spasojevic I, Berlow N, Pal R, Becher OJ. A high-throughput in vitro drug screen in a genetically engineered mouse model of diffuse intrinsic pontine glioma identifies BMS-754807 as a promising therapeutic agent. Plos One. 10: e0118926. PMID 25748921 DOI: 10.1227/01.Neu.0000467102.37429.76  0.303
2015 Grasso CS, Tang Y, Truffaux N, Berlow NE, Liu L, Debily M, Quist MJ, Davis L, Huang EC, Woo PJ, Ponnuswami A, Chen S, Johung T, Sun W, Kogiso M, ... ... Pal R, et al. BT-02 * FUNCTIONALLY-DEFINED THERAPEUTIC TARGETS IN DIFFUSE INTRINSIC PONTINE GLIOMA Neuro-Oncology. 17: iii3-iii3. DOI: 10.1093/Neuonc/Nov061.12  0.315
2014 Berlow N, Davis L, Keller C, Pal R. Inference of dynamic biological networks based on responses to drug perturbations. Eurasip Journal On Bioinformatics & Systems Biology. 2014: 14. PMID 28194164 DOI: 10.1186/S13637-014-0014-1  0.386
2014 Berlow N, Haider S, Qian Wan, Geltzeiler M, Davis LE, Keller C, Pal R. An Integrated Approach to Anti-Cancer Drug Sensitivity Prediction. Ieee/Acm Transactions On Computational Biology and Bioinformatics / Ieee, Acm. 11: 995-1008. PMID 26357038 DOI: 10.1109/Tcbb.2014.2321138  0.355
2014 Wan Q, Pal R. An ensemble based top performing approach for NCI-DREAM drug sensitivity prediction challenge. Plos One. 9: e101183. PMID 24978814 DOI: 10.1371/Journal.Pone.0101183  0.347
2014 Caglar MU, Pal R. A diverse stochastic search algorithm for combination therapeutics Biomed Research International. 2014. PMID 24738075 DOI: 10.1155/2014/873436  0.302
2013 Caglar MU, Pal R. Stochastic model simulation using kronecker product analysis and zassenhaus formula approximation Ieee/Acm Transactions On Computational Biology and Bioinformatics. 10: 1125-1136. PMID 24384703 DOI: 10.1109/Tcbb.2013.34  0.374
2013 Berlow N, Davis LE, Cantor EL, Séguin B, Keller C, Pal R. A new approach for prediction of tumor sensitivity to targeted drugs based on functional data. Bmc Bioinformatics. 14: 239. PMID 23890326 DOI: 10.1186/1471-2105-14-239  0.352
2013 Pal R. Modeling and inference of genetic interactions Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery. 3: 453-466. DOI: 10.1002/Widm.1103  0.321
2012 Haider S, Pal R. Boolean network inference from time series data incorporating prior biological knowledge. Bmc Genomics. 13: S9. PMID 23134816 DOI: 10.1186/1471-2164-13-S6-S9  0.406
2012 Pal R, Bhattacharya S. Transient dynamics of reduced-order models of genetic regulatory networks. Ieee/Acm Transactions On Computational Biology and Bioinformatics / Ieee, Acm. 9: 1230-44. PMID 22411891 DOI: 10.1109/Tcbb.2012.37  0.376
2012 Pal R, Bhattacharya S, Caglar MU. Robust approaches for genetic regulatory network modeling and intervention: A review of recent advances Ieee Signal Processing Magazine. 29: 66-76. DOI: 10.1109/Msp.2011.942818  0.408
2010 Pal R, Bhattacharya S. Characterizing the Effect of Coarse-Scale PBN Modeling on Dynamics and Intervention Performance of Genetic Regulatory Networks Represented by Stochastic Master Equation Models Ieee Transactions On Signal Processing. 58: 3341-3351. DOI: 10.1109/Tsp.2010.2043970  0.355
2010 Pal R. Context-sensitive probabilistic boolean networks: Steady-state properties, reduction, and steady-state approximation Ieee Transactions On Signal Processing. 58: 879-890. DOI: 10.1109/Tsp.2009.2030832  0.357
2010 Dougherty ER, Pal R, Qian X, Bittner ML, Datta A. Stationary and structural control in gene regulatory networks: Basic concepts International Journal of Systems Science. 41: 5-16. DOI: 10.1080/00207720903144560  0.575
2009 Layek R, Datta A, Pal R, Dougherty ER. Adaptive intervention in probabilistic boolean networks. Bioinformatics (Oxford, England). 25: 2042-8. PMID 19505946 DOI: 10.1093/Bioinformatics/Btp349  0.586
2009 Pal R, Datta A, Dougherty E. Bayesian Robustness in the Control of Gene Regulatory Networks Ieee Transactions On Signal Processing. 57: 3667-3678. DOI: 10.1109/Tsp.2009.2022872  0.568
2008 Pal R, Datta A, Dougherty E. Robust Intervention in Probabilistic Boolean Networks Ieee Transactions On Signal Processing. 56: 1280-1294. DOI: 10.1109/TSP.2007.908964  0.481
2007 Qian Y, Venkatraj J, Barhoumi R, Pal R, Datta A, Wild JR, Tiffany-Castiglioni E. Comparative non-cholinergic neurotoxic effects of paraoxon and diisopropyl fluorophosphate (DFP) on human neuroblastoma and astrocytoma cell lines. Toxicology and Applied Pharmacology. 219: 162-71. PMID 17223147 DOI: 10.1016/J.Taap.2006.11.030  0.457
2007 Ivanov I, Pal R, Dougherty ER. Dynamics Preserving Size Reduction Mappings for Probabilistic Boolean Networks Ieee Transactions On Signal Processing. 55: 2310-2322. DOI: 10.1109/Tsp.2006.890929  0.442
2007 Datta A, Pal R, Choudhary A, Dougherty E. Control approaches for probabilistic gene regulatory networks - What approaches have been developed for addreassinig the issue of intervention? Ieee Signal Processing Magazine. 24: 54-63. DOI: 10.1109/Msp.2007.273057  0.661
2006 Datta A, Pal R, Dougherty E. Intervention in Probabilistic Gene Regulatory Networks Current Bioinformatics. 1: 167-184. DOI: 10.2174/157489306777011978  0.58
2006 Pal R, Datta A, Dougherty E. Optimal infinite-horizon control for probabilistic Boolean networks Ieee Transactions On Signal Processing. 54: 2375-2387. DOI: 10.1109/Tsp.2006.873740  0.533
2005 Pal R, Ivanov I, Datta A, Bittner ML, Dougherty ER. Generating Boolean networks with a prescribed attractor structure. Bioinformatics (Oxford, England). 21: 4021-5. PMID 16150807 DOI: 10.1093/Bioinformatics/Bti664  0.54
2005 Pal R, Datta A, Fornace AJ, Bittner ML, Dougherty ER. Boolean relationships among genes responsive to ionizing radiation in the NCI 60 ACDS Bioinformatics. 21: 1542-1549. PMID 15598836 DOI: 10.1093/Bioinformatics/Bti214  0.501
2005 Pal R, Datta A, Bittner ML, Dougherty ER. Intervention in context-sensitive probabilistic Boolean networks. Bioinformatics (Oxford, England). 21: 1211-8. PMID 15531600 DOI: 10.1093/Bioinformatics/Bti131  0.586
2004 Zhou X, Wang X, Pal R, Ivanov I, Bittner M, Dougherty ER. A Bayesian connectivity-based approach to constructing probabilistic gene regulatory networks. Bioinformatics (Oxford, England). 20: 2918-27. PMID 15145802 DOI: 10.1093/Bioinformatics/Bth318  0.435
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