NeuroPID: a predictor for identifying neuropeptide precursors from metazoan proteomes. - Dan Ofer; Michal Linial (Bioinform., 2014)

NeuroPID: a classifier of neuropeptide precursors. - Solange Karsenty; Nadav Rappoport; Dan Ofer; Adva Zair; Michal Linial (Nucleic Acids Res., 2014)

ProFET: Feature engineering captures high-level protein functions. - Dan Ofer; Michal Linial (Bioinform., 2015)

ASAP: a machine learning framework for local protein properties. - Nadav Brandes; Dan Ofer; Michal Linial (Database J. Biol. Databases Curation, 2016)

ICU Survival Prediction Incorporating Test-Time Augmentation to Improve the Accuracy of Ensemble-Based Models. - Seffi Cohen; Noa Dagan; Nurit Cohen-Inger; Dan Ofer; Lior Rokach (IEEE Access, 2021)

Cards Against AI: Predicting Humor in a Fill-in-the-blank Party Game. - Dan Ofer; Dafna Shahaf (EMNLP (Findings), 2022)

ProteinBERT: a universal deep-learning model of protein sequence and function. - Nadav Brandes; Dan Ofer; Yam Peleg; Nadav Rappoport; Michal Linial (Bioinform., 2022)

Whats next? Forecasting scientific research trends. - Dan Ofer; Michal Linial (CoRR, 2023)

Automated annotation of disease subtypes. - Dan Ofer; Michal Linial (J. Biomed. Informatics, 2024)

InterFeat: An Automated Pipeline for Finding Interesting Hypotheses in Structured Biomedical Data. - Dan Ofer; Michal Linial; Dafna Shahaf (CoRR, 2025)