A Review on Metabolomics Data Analysis for Cancer Applications. - Sara Cardoso; Delora Baptista; Rebeca Santos; Miguel Rocha 001 (PACBB, 2018)

Artificial Intelligence in Biological Activity Prediction. - João Correia 002; Tiago Resende; Delora Baptista; Miguel Rocha 001 (PACBB, 2019)

A Comparison of Different Compound Representations for Drug Sensitivity Prediction. - Delora Baptista; João Correia 002; Bruno Pereira; Miguel Rocha 001 (PACBB, 2021)

Deep learning for drug response prediction in cancer. - Delora Baptista; Pedro G. Ferreira; Miguel Rocha 001 (Briefings Bioinform., 2021)

Evaluating molecular representations in machine learning models for drug response prediction and interpretability. - Delora Baptista; João Correia 002; Bruno Pereira; Miguel Rocha 001 (J. Integr. Bioinform., 2022)

A framework for predicting drug sensitivity and synergy in cancer cells using deep learning - Delora Baptista (2022)

Data and trained models for "A systematic evaluation of deep learning methods for the prediction of drug synergy in cancer". - Delora Baptista; Pedro G. Ferreira; Miguel Rocha 001 (Zenodo, 2022)

A systematic evaluation of deep learning methods for the prediction of drug synergy in cancer. - Delora Baptista; Pedro G. Ferreira; Miguel Rocha 001 (PLoS Comput. Biol., 2023)