| Benchmarking algorithms for gene regulatory network inference from single-cell transcriptomic data A Pratapa, AP Jalihal, JN Law, A Bharadwaj, TM Murali Nature methods 17 (2), 147-154, 2020 | 555 | 2020 |
| Multi-objective goal-directed optimization of de novo stable organic radicals for aqueous redox flow batteries SS SV, JN Law, CE Tripp, D Duplyakin, E Skordilis, D Biagioni, RS Paton, ... Nature Machine Intelligence 4 (8), 720-730, 2022 | 49 | 2022 |
| The PathLinker app: connect the dots in protein interaction networks DP Gil, JN Law, TM Murali F1000Research 6, 2017 | 34 | 2017 |
| Data integration through heterogeneous ensembles for protein function prediction L Wang, J Law, TM Murali, G Pandey Biorxiv, 2020 | 15* | 2020 |
| Large-scale protein function prediction using heterogeneous ensembles L Wang, J Law, SD Kale, TM Murali, G Pandey F1000Research 7, 2018 | 14 | 2018 |
| Upper-bound energy minimization to search for stable functional materials with graph neural networks JN Law, S Pandey, P Gorai, PC St. John JACS Au 3 (1), 113-123, 2022 | 12 | 2022 |
| Plug & play directed evolution of proteins with gradient-based discrete MCMC P Emami, A Perreault, J Law, D Biagioni, PS John Machine Learning: Science and Technology 4 (2), 025014, 2023 | 11 | 2023 |
| Identifying human interactors of SARS-CoV-2 proteins and drug targets for COVID-19 using network-based label propagation JN Law, K Akers, N Tasnina, CM Della Santina, M Kshirsagar, ... Virginia Tech, 2020 | 11 | 2020 |
| Automating the PathLinker app for Cytoscape LJ Huang, JN Law, TM Murali F1000Research 7, 2018 | 10 | 2018 |
| Integrating protein localization with automated signaling pathway reconstruction I Youssef, J Law, A Ritz BMC bioinformatics 20, 1-15, 2019 | 8 | 2019 |
| Interpretable network propagation with application to expanding the repertoire of human proteins that interact with SARS-CoV-2 JN Law, K Akers, N Tasnina, CMD Santina, S Deutsch, M Kshirsagar, ... GigaScience 10 (12), giab082, 2021 | 6 | 2021 |
| Protein sequence models for prediction and comparative analysis of the SARS-CoV-2—human interactome M Kshirsagar, N Tasnina, MD Ward, JN Law, TM Murali, JM Lavista Ferres, ... BIOCOMPUTING 2021: Proceedings of the Pacific Symposium, 154-165, 2020 | 4 | 2020 |
| graphenv: a Python library for reinforcement learning on graph search spaces D Biagioni, CE Tripp, S Clark, D Duplyakin, J Law, PCS John Journal of Open Source Software 7 (77), 4621, 2022 | 3 | 2022 |
| Accurate and efficient gene function prediction using a multi-bacterial network JN Law, SD Kale, TM Murali Bioinformatics 37 (6), 800-806, 2021 | 3 | 2021 |
| Development and application of network algorithms for prediction of gene function and response to viral infection and chemicals JN Law Virginia Tech, 2020 | 2 | 2020 |
| Identifying human interactors of SARS-CoV-2 proteins and drug targets for COVID-19 using network-based label propagation. arXiv JN Law, K Akers, N Tasnina, CM Della Santina, M Kshirsagar, ... arXiv preprint arXiv:2006.01968, 2020 | 2 | 2020 |
| Computational Construction of Toxicant Signaling Networks JN Law, SM Orbach, BR Weston, PA Steele, P Rajagopalan, TM Murali Chemical Research in Toxicology 36 (8), 1267-1277, 2023 | 1 | 2023 |
| EvoProtGrad (Directed Evolution for Proteins with Gradients)[SWR-23-48] P Emami, J Law, D Biagioni, P St John National Renewable Energy Laboratory (NREL), Golden, CO (United States), 2023 | | 2023 |
| End to End Optimization for Molecular and Atomistic Systems PS John, D Biagioni, C Tripp, J Law, E Skordilis, D Duplyakin, S Clark, ... Colorado School of Mines, Golden, CO (United States), 2022 | | 2022 |
| Graph-Env C Tripp, P St John, D Biagioni, S Clark, D Duplyakin, J Law National Renewable Energy Laboratory (NREL), Golden, CO (United States), 2022 | | 2022 |
