Automating the PathLinker app for Cytoscape. - Li Jun Huang; Jeffrey N. Law; T. M. Murali 001 (F1000Research, 2018)

Large-scale protein function prediction using heterogeneous ensembles. - Linhua Wang; Jeffrey N. Law; Shiv D. Kale; T. M. Murali 001; Gaurav Pandey (F1000Research, 2018)

Integrating protein localization with automated signaling pathway reconstruction. - Ibrahim Youssef; Jeffrey N. Law; Anna M. Ritz (BMC Bioinform., 2019)

How to build regulatory networks from single-cell gene expression data. - Aditya Pratapa; Amogh P. Jalihal; Jeffrey N. Law; Aditya Bharadwaj; T. M. Murali 001 (BCB, 2020)

Protein sequence models for prediction and comparative analysis of the SARS-CoV-2 - human interactome. - Meghana Kshirsagar 001; Nure Tasnina; Michael D. Ward; Jeffrey N. Law; T. M. Murali 001; Juan M. Lavista Ferres; Gregory R. Bowman; Judith Klein-Seetharaman (PSB, 2021)

Accurate and efficient gene function prediction using a multi-bacterial network. - Jeffrey N. Law; Shiv D. Kale; T. M. Murali 001 (Bioinform., 2021)

graphenv: a Python library for reinforcement learning on graph search spaces. - David Biagioni; Charles Edison Tripp; Struan Clark; Dmitry Duplyakin; Jeffrey N. Law; Peter C. St. John (J. Open Source Softw., 2022)

Multi-objective goal-directed optimization of de novo stable organic radicals for aqueous redox flow batteries. - Shree Sowndarya S. V.; Jeffrey N. Law; Charles Edison Tripp; Dmitry Duplyakin; Erotokritos Skordilis; David Biagioni; Robert S. Paton; Peter C. St. John (Nat. Mach. Intell., 2022)

Plug & play directed evolution of proteins with gradient-based discrete MCMC. - Patrick Emami; Aidan Perreault; Jeffrey N. Law; David Biagioni; Peter C. St. John (Mach. Learn. Sci. Technol., 2023)