In silico Proteome Cleavage Reveals Iterative Digestion Strategy for High Sequence Coverage. - Jesse G. Meyer (CoRR, 2014)

Learning Drug Functions from Chemical Structures with Convolutional Neural Networks and Random Forests. - Jesse G. Meyer; Shengchao Liu; Ian J. Miller; Joshua J. Coon; Anthony Gitter (J. Chem. Inf. Model., 2019)

Finding the optimal human strategy for Wordle using maximum correct letter probabilities and reinforcement learning. - Benton J. Anderson; Jesse G. Meyer (CoRR, 2022)

Positional SHAP (PoSHAP) for Interpretation of machine learning models trained from biological sequences. - Quinn Dickinson; Jesse G. Meyer (PLoS Comput. Biol., 2022)

EpyNN: Educational python for Neural Networks. - Florian Malard; Laura Danner; Emilie Rouzies; Jesse G. Meyer; Ewen Lescop; Stéphanie Olivier-Van Stichelen (SoftwareX, 2022)

Multi-omic integration by machine learning (MIMaL). - Quinn Dickinson; Andreas Aufschnaiter; Martin Ott; Jesse G. Meyer (Bioinform., 2022)

ChatGPT and large language models in academia: opportunities and challenges. - Jesse G. Meyer; Ryan J. Urbanowicz; Patrick C. N. Martin; Karen O'Connor; Ruowang Li; Pei-Chen Peng; Tiffani J. Bright; Nicholas P. Tatonetti; Kyoung-Jae Won; Graciela Gonzalez-Hernandez; Jason H. Moore (BioData Min., 2023)

AttentionSmithy: A Modular Framework for Rapid Transformer Development. - Caleb Cranney; Jesse G. Meyer (Trans. Mach. Learn. Res., 2025)

AttentionSmithy: A Modular Framework for Rapid Transformer Development and Customization. - Caleb Cranney; Jesse G. Meyer (CoRR, 2025)

From Articles to Code: On-Demand Generation of Core Algorithms from Scientific Publications. - Cameron S. Movassaghi; Amanda Momenzadeh; Jesse G. Meyer (CoRR, 2025)