Jeffrey N. Law

发表

How to build regulatory networks from single-cell gene expression data

T. M. Murali, Aditya Pratapa, Amogh P. Jalihal, 2020, BCB.

Benchmarking algorithms for gene regulatory network inference from single-cell transcriptomic data

T. M. Murali, Aditya Pratapa, Amogh P. Jalihal, 2020, Nature Methods.

The PathLinker app: Connect the dots in protein interaction networks

T. M. Murali, Jeffrey N. Law, Daniel P. Gil, 2017, F1000Research.

Benchmarking algorithms for gene regulatory network inference from single-cell transcriptomic data

T. M. Murali, Aditya Pratapa, Amogh P. Jalihal, 2019, Nature Methods.

Accurate and Efficient Gene Function Prediction using a Multi-Bacterial Network

T. M. Murali, Jeffrey N. Law, Shiv D. Kale, 2019, bioRxiv.

Integrating Protein Localization with Automated Signaling Pathway Reconstruction

Anna Ritz, Jeffrey N. Law, Ibrahim Youssef, 2019 .

Protein sequence models for prediction and comparative analysis of the SARS-CoV-2 - human interactome

Jeffrey N. Law, Michael D. Ward, J. Klein-Seetharaman, 2020, PSB.

Identifying Human Interactors of SARS-CoV-2 Proteins and Drug Targets for COVID-19 using Network-Based Label Propagation

Jeffrey N. Law, S. Kasif, J. Klein-Seetharaman, 2020 .

Multi-objective goal-directed optimization of de novo stable organic radicals for aqueous redox flow batteries

Jeffrey N. Law, David J. Biagioni, Peter C. St. John, 2021, Nature Machine Intelligence.

Integrating multimodal data through interpretable heterogeneous ensembles

Jeffrey N. Law, T. Murali, G. Pandey, 2020, bioRxiv.

Large-scale protein function prediction using heterogeneous ensembles

T M Murali, Linhua Wang, Jeffrey Law, 2018, F1000Research.

Integrating protein localization with automated signaling pathway reconstruction

Jeffrey N. Law, Ibrahim Youssef, Anna M. Ritz, 2018, BMC Bioinformatics.

Plug & Play Directed Evolution of Proteins with Gradient-based Discrete MCMC

Jeffrey N. Law, David J. Biagioni, Patrick Emami, 2022, ArXiv.

Data integration through heterogeneous ensembles for protein function prediction

T. M. Murali, Linhua Wang, Jeffrey Law, 2020 .

Identifying Human Interactors of SARS-CoV-2 Proteins and Drug Targets for COVID-19 using Network-Based Label Propagation

Jeffrey N. Law, S. Kasif, J. Klein-Seetharaman, 2020 .

Upper-Bound Energy Minimization to Search for Stable Functional Materials with Graph Neural Networks

Jeffrey N. Law, Peter C. St. John, Prashun Gorai, 2022, JACS Au.

Interpretable network propagation with application to expanding the repertoire of human proteins that interact with SARS-CoV-2

Jeffrey N. Law, S. Kasif, J. Klein-Seetharaman, 2020, GigaScience.

Automating the PathLinker app for Cytoscape

Li Jun Huang, Jeffrey N Law, T M Murali, 2018, F1000Research.

Accurate and efficient gene function prediction using a Multi-Bacterial network.

Jeffrey N Law, T M Murali, Jeffrey N. Law, 2020, Bioinformatics.

Computational Construction of Toxicant Signaling Networks

Jeffrey N. Law, T. Murali, P. Rajagopalan, 2023, Chemical research in toxicology.

Plug & play directed evolution of proteins with gradient-based discrete MCMC

Jeffrey N. Law, David J. Biagioni, Peter C. St. John, 2022, Mach. Learn. Sci. Technol..