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 |
|
Show low-probability matches. |