A cancer pharmacogenomic screen powering crowd-sourced advancement of drug combination prediction MP Menden, D Wang, Y Guan, MJ Mason, B Szalai, KC Bulusu, T Yu, ... BioRxiv, 200451, 2017 | 28 | 2017 |
A DREAM challenge to build prediction models for short-term discontinuation of docetaxel in metastatic castration-resistant prostate cancer F Seyednasrollah, DC Koestler, T Wang, SR Piccolo, R Vega, R Greiner, ... JCO clinical cancer informatics 1, 1-15, 2017 | 20 | 2017 |
A gentle introduction to understanding preclinical data for cancer pharmaco-omic modeling C Piyawajanusorn, LC Nguyen, G Ghislat, PJ Ballester Briefings in Bioinformatics, bbab312, 2021 | 10 | 2021 |
A machine learning approach to predict cellular uptake of pBAE polyplexes A Loecher, M Bruyns-Haylett, PJ Ballester, S Borros, N Oliva Biomaterials Science 11 (17), 5797-5808, 2023 | 3 | 2023 |
A machine learning approach to predicting protein–ligand binding affinity with applications to molecular docking PJ Ballester, JBO Mitchell Bioinformatics 26 (9), 1169-1175, 2010 | 877 | 2010 |
A multiparent version of the parent-centric normal crossover for multimodal optimization PJ Ballester, WG Richards 2006 IEEE International Conference on Evolutionary Computation, 2999-3006, 2006 | 7 | 2006 |
A New Methodology for Addressing Nonlinear Inverse Problems and its Application to Characterise a Real Petroleum Reservoir PJ Ballester, JN Carter Australian Academy of Science White Conference on Mastering Data Explosion …, 2006 | | 2006 |
A parallel real-coded genetic algorithm for history matching and its application to a real petroleum reservoir PJ Ballester, JN Carter Journal of Petroleum Science and Engineering 59 (3-4), 157-168, 2007 | 70 | 2007 |
A practical guide to machine-learning scoring for structure-based virtual screening VK Tran-Nguyen, M Junaid, S Simeon, PJ Ballester Nature Protocols 18 (11), 3460-3511, 2023 | 22 | 2023 |
A real parameter genetic algorithm for cluster identification in history matching JN Carter, PJ Ballester ECMOR IX-9th European conference on the mathematics of oil recovery, cp-9-00035, 2004 | 17 | 2004 |
A stochastic spiking neural network for virtual screening A Morro, V Canals, A Oliver, ML Alomar, F Galán-Prado, PJ Ballester, ... IEEE transactions on neural networks and learning systems 29 (4), 1371-1375, 2017 | 59 | 2017 |
Algorithm Development V Feoktistov, S Janaqi, J Zilinskas, I Bogle, P Ballester, J Carter, B Pinaud, ... Adaptive Computing in Design and Manufacture VI, 2011 | | 2011 |
An algorithm to identify clusters of solutions in multimodal optimisation PJ Ballester, JN Carter International Workshop on Experimental and Efficient Algorithms, 42-56, 2004 | 6 | 2004 |
An Efective Real——Parameter Genetic Algorithm with Parent Centric Norm al Crossover for Multimodal Optimisation [A1, GECCO PJ Ballester, JN Carter | 2 | 2004 |
An Effective Real-Parameter Genetic Algorithm for Multimodal Optimisation PJ Ballester, JN Carter Adaptive Computing in Design and Manufacture VI, 359-364, 2004 | 13 | 2004 |
An effective real-parameter genetic algorithm with parent centric normal crossover for multimodal optimisation PJ Ballester, JN Carter Genetic and evolutionary computation conference, 901-913, 2004 | 100 | 2004 |
Artificial intelligence for drug response prediction in disease models PJ Ballester, R Stevens, B Haibe-Kains, RS Huang, T Aittokallio Briefings in bioinformatics 23 (1), bbab450, 2022 | 27 | 2022 |
Artificial intelligence for the next generation of precision oncology PJ Ballester, J Carmona NPJ Precision Oncology 5 (1), 79, 2021 | 28 | 2021 |
Beware of simple methods for structure-based virtual screening: the critical importance of broader comparisons VK Tran-Nguyen, PJ Ballester Journal of Chemical Information and Modeling 63 (5), 1401-1405, 2023 | 13 | 2023 |
Biochemical evaluation of virtual screening methods reveals a cell-active inhibitor of the cancer-promoting phosphatases of regenerating liver B Hoeger, M Diether, PJ Ballester, M Köhn European journal of medicinal chemistry 88, 89-100, 2014 | 63 | 2014 |