Lucas A. Gillenwater

According to our database, Lucas A. Gillenwater authored at least 5 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

GRACKLE: an interpretable matrix factorization approach for biomedical representation learning.

Lucas A. Gillenwater, Lawrence E. Hunter, James C. Costello

Bioinform., 2025

2023

TreeKernel: interpretable kernel machine tests for interactions between -omics and clinical predictors with applications to metabolomics and COPD phenotypes.

Charlie M. Carpenter, Lucas A. Gillenwater, Russell Bowler, Katerina J. Kechris, Debashis Ghosh

BMC Bioinform., December, 2023

An Open-Source Knowledge Graph Ecosystem for the Life Sciences.

Tiffany J. Callahan, Ignacio J. Tripodi, Adrianne L. Stefanski, Luca Cappelletti, Sanya Bathla Taneja, Jordan M. Wyrwa, Elena Casiraghi, Nicolas A. Matentzoglu, Justin T. Reese, Jonathan C. Silverstein, Charles Tapley Hoyt, Richard D. Boyce, Scott A. Malec, Deepak R. Unni, Marcin P. Joachimiak, Peter N. Robinson, Christopher J. Mungall, Emanuele Cavalleri, Tommaso Fontana, Giorgio Valentini, Marco Mesiti, Lucas A. Gillenwater, Brook E. Santangelo, Nicole A. Vasilevsky, Robert Hoehndorf, Tellen D. Bennett, Patrick B. Ryan, George Hripcsak, Michael G. Kahn, Michael Bada, William A. Baumgartner Jr., Lawrence E. Hunter

CoRR, 2023

2022

Molecular cartooning with knowledge graphs.

Brook E. Santangelo, Lucas A. Gillenwater, Nourah M. Salem, Lawrence E. Hunter

Frontiers Bioinform., 2022

2021

PaIRKAT: A pathway integrated regression-based kernel association test with applications to metabolomics and COPD phenotypes.

Charlie M. Carpenter, Weiming Zhang, Lucas A. Gillenwater, Cameron Severn, Tusharkanti Ghosh, Russell Bowler, Katerina J. Kechris, Debashis Ghosh

PLoS Comput. Biol., 2021