| Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen MP Menden, D Wang, MJ Mason, B Szalai, KC Bulusu, Y Guan, T Yu, ... Nature communications 10 (1), 2674, 2019 | 291 | 2019 |
| Deep learning for drug response prediction in cancer D Baptista, PG Ferreira, M Rocha Briefings in bioinformatics 22 (1), 360-379, 2021 | 167 | 2021 |
| Evaluating molecular representations in machine learning models for drug response prediction and interpretability D Baptista, J Correia, B Pereira, M Rocha Journal of Integrative Bioinformatics 19 (3), 20220006, 2022 | 27 | 2022 |
| Crowdsourced identification of multi-target kinase inhibitors for RET-and TAU-based disease: The Multi-Targeting Drug DREAM Challenge Z Xiong, M Jeon, RJ Allaway, J Kang, D Park, J Lee, H Jeon, M Ko, ... PLoS computational biology 17 (9), e1009302, 2021 | 11 | 2021 |
| A systematic evaluation of deep learning methods for the prediction of drug synergy in cancer D Baptista, PG Ferreira, M Rocha PLOS Computational Biology 19 (3), e1010200, 2023 | 10 | 2023 |
| Artificial intelligence in biological activity prediction J Correia, T Resende, D Baptista, M Rocha Practical Applications of Computational Biology and Bioinformatics, 13th …, 2020 | 7 | 2020 |
| A review on metabolomics data analysis for cancer applications S Cardoso, D Baptista, R Santos, M Rocha Practical Applications of Computational Biology and Bioinformatics, 12th …, 2019 | 4 | 2019 |
| A Comparison of Different Compound Representations for Drug Sensitivity Prediction D Baptista, J Correia, B Pereira, M Rocha Practical Applications of Computational Biology & Bioinformatics, 15th …, 2022 | 3 | 2022 |
| Integrating Large-Scale Protein Structure Prediction into Human Genetics Research M Correa Marrero, J Jänes, D Baptista, P Beltrao Annual Review of Genomics and Human Genetics 25, 2024 | | 2024 |
| A framework for predicting drug sensitivity and synergy in cancer cells using deep learning D Baptista University of Minho, Portugal, 2022 | | 2022 |
| Machine learning approaches for predicting effects of drug combinations in cancer DS Baptista PQDT-Global, 2016 | | 2016 |
| Rational identification of colorectal cancer homing peptides using phage display and in silico rigid-body docking studies of surface protein-ligand interactions D Ferreira, A Silva, D Baptista, FL Nobrega, IM Martins, LD Kluskens, ... | | |
