| A community effort to assess and improve drug sensitivity prediction algorithms JC Costello, LM Heiser, E Georgii, M Gönen, MP Menden, NJ Wang, ... Nature biotechnology 32 (12), 1202-1212, 2014 | 813 | 2014 |
| Functionally defined therapeutic targets in diffuse intrinsic pontine glioma CS Grasso, Y Tang, N Truffaux, NE Berlow, L Liu, MA Debily, MJ Quist, ... Nature medicine 21 (6), 555-559, 2015 | 685 | 2015 |
| Integrated analysis of transcriptomic and proteomic data S Haider, R Pal Current genomics 14 (2), 91-110, 2013 | 468 | 2013 |
| Optimal infinite-horizon control for probabilistic Boolean networks R Pal, A Datta, ER Dougherty IEEE Transactions on Signal Processing 54 (6), 2375-2387, 2006 | 305 | 2006 |
| Inferring causal molecular networks: empirical assessment through a community-based effort SM Hill, LM Heiser, T Cokelaer, M Unger, NK Nesser, DE Carlin, Y Zhang, ... Nature methods 13 (4), 310-318, 2016 | 263 | 2016 |
| Intervention in context-sensitive probabilistic Boolean networks R Pal, A Datta, ML Bittner, ER Dougherty Bioinformatics 21 (7), 1211-1218, 2005 | 219 | 2005 |
| Evidence for an unanticipated relationship between undifferentiated pleomorphic sarcoma and embryonal rhabdomyosarcoma BP Rubin, K Nishijo, HIH Chen, X Yi, DP Schuetze, R Pal, SI Prajapati, ... Cancer cell 19 (2), 177-191, 2011 | 215 | 2011 |
| Generating Boolean networks with a prescribed attractor structure R Pal, I Ivanov, A Datta, ML Bittner, ER Dougherty Bioinformatics 21 (21), 4021-4025, 2005 | 189 | 2005 |
| Gesture recognition for smart home applications using portable radar sensors Q Wan, Y Li, C Li, R Pal 2014 36th annual international conference of the IEEE engineering in …, 2014 | 171 | 2014 |
| 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), 4391, 2020 | 125 | 2020 |
| A Bayesian connectivity-based approach to constructing probabilistic gene regulatory networks X Zhou, X Wang, R Pal, I Ivanov, M Bittner, ER Dougherty Bioinformatics 20 (17), 2918-2927, 2004 | 117 | 2004 |
| An ensemble based top performing approach for NCI-DREAM drug sensitivity prediction challenge Q Wan, R Pal PloS one 9 (6), e101183, 2014 | 94 | 2014 |
| Rhabdomyosarcoma: current challenges and their implications for developing therapies S Hettmer, Z Li, AN Billin, FG Barr, DDW Cornelison, AR Ehrlich, ... Cold Spring Harbor Perspectives in Medicine 4 (11), a025650, 2014 | 91 | 2014 |
| Control approaches for probabilistic gene regulatory networks-what approaches have been developed for addreassinig the issue of intervention? A Datta, R Pal, A Choudhary, ER Dougherty IEEE Signal Processing Magazine 24 (1), 54-63, 2007 | 90 | 2007 |
| 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 KG Halvorson, KL Barton, K Schroeder, KL Misuraca, C Hoeman, ... PloS one 10 (3), e0118926, 2015 | 86 | 2015 |
| Heterogeneity aware random forest for drug sensitivity prediction R Rahman, K Matlock, S Ghosh, R Pal Scientific reports 7 (1), 11347, 2017 | 79 | 2017 |
| IntegratedMRF: random forest-based framework for integrating prediction from different data types R Rahman, J Otridge, R Pal Bioinformatics 33 (9), 1407-1410, 2017 | 79 | 2017 |
| 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 |
| Robust intervention in probabilistic Boolean networks R Pal, A Datta, ER Dougherty IEEE Transactions on Signal Processing 56 (3), 1280-1294, 2008 | 69 | 2008 |
| Validation methodologies R Pal Predictive modeling of drug sensitivity, 83-107, 2017 | 67 | 2017 |
Edward DoughertyProfessor of Electrical and Computer Engineering, Texas A&M UniversityPreverjeni e-poštni naslov na ece.tamu.edu