Ignacio Tripodi

According to our database, Ignacio Tripodi authored at least 8 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2023

Optimization of an adverse outcome pathway network on chemical-induced cholestasis using an artificial intelligence-assisted data collection and confidence level quantification approach.

Jonas van Ertvelde, Anouk Verhoeven, Amy Maerten, Axelle Cooreman, Bruna dos Santos Rodrigues, Julen Sanz-Serrano, Milos Mihajlovic, Ignacio Tripodi, Marc Teunis, Ramiro Jover, Thomas Luechtefeld, Tamara Vanhaecke, Jian Jiang, Mathieu Vinken

J. Biomed. Informatics, September, 2023

A Tissue-Specific and Toxicology-Focused Knowledge Graph.

Ignacio J. Tripodi, Lena Schmidt, Brian E. Howard, Deepak Mav, Ruchir R. Shah

Inf., February, 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

Setting the rhythm scene: deep learning-based drum loop generation from arbitrary language cues.

Ignacio J. Tripodi

CoRR, 2022

2020

Hypernetwork Science: From Multidimensional Networks to Computational Topology.

Cliff A. Joslyn, Sinan Aksoy, Tiffany J. Callahan, Lawrence E. Hunter, Brett A. Jefferson, Brenda Praggastis, Emilie A. H. Purvine, Ignacio J. Tripodi

CoRR, 2020

2019

Knowledge-based Biomedical Data Science 2019.

Tiffany J. Callahan, Harrison Pielke-Lombardo, Ignacio J. Tripodi, Lawrence E. Hunter

CoRR, 2019

2018

OWL-NETS: Transforming OWL representations for improved network inference.

Tiffany J. Callahan, William A. Baumgartner Jr., Michael Bada, Adrianne L. Stefanski, Ignacio Tripodi, Elizabeth K. White, Lawrence E. Hunter

Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018

2017

A semantic knowledge-base approach to drug-drug interaction discovery.

Ignacio Tripodi, Kevin Bretonnel Cohen, Lawrence E. Hunter

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017