| The implicitome: a resource for rationalizing gene-disease associations KM Hettne, M Thompson, HH van Haagen, E Van Der Horst, ... PLoS one 11 (2), e0149621, 2016 | 40 | 2016 |
| Combining machine learning, crowdsourcing and expert knowledge to detect chemical-induced diseases in text À Bravo, TS Li, AI Su, BM Good, LI Furlong Database 2016, baw094, 2016 | 17 | 2016 |
| A crowdsourcing workflow for extracting chemical-induced disease relations from free text TS Li, A Bravo, LI Furlong, BM Good, AI Su Database 2016, baw051, 2016 | 14 | 2016 |
| Design and application of a knowledge network for automatic prioritization of drug mechanisms M Mayers, R Tu, D Steinecke, TS Li, N Queralt-Rosinach, AI Su Bioinformatics 38 (10), 2880-2891, 2022 | 12 | 2022 |
| Structured reviews for data and knowledge-driven research N Queralt-Rosinach, GS Stupp, TS Li, M Mayers, ME Hoatlin, M Might, ... Database 2020, baaa015, 2020 | 9 | 2020 |
| Time-resolved evaluation of compound repositioning predictions on a text-mined knowledge network M Mayers, TS Li, N Queralt-Rosinach, AI Su BMC bioinformatics 20, 1-12, 2019 | 9 | 2019 |
| Exposing ambiguities in a relation-extraction gold standard with crowdsourcing TS Li, BM Good, AI Su arXiv preprint arXiv:1505.06256, 2015 | 4 | 2015 |
| Association study between drug prescriptions and Alzheimer’s disease claims in a commercial insurance database E Hu, TS Li, NE Wineinger, AI Su Alzheimer's Research & Therapy 15 (1), 118, 2023 | 2 | 2023 |
| Extracting structured chemical-induced disease relations from free text via crowdsourcing TS Li, A Bravo, LI Furlong, BM Good, AI Su Proceedings of the fifth BioCreative challenge evaluation workshop, Sevilla …, 2015 | 2 | 2015 |
| Improving Drug Repurposing with Computational Hypothesis Generation and Verification TS Li The Scripps Research Institute, 2020 | | 2020 |
| Exposing ambiguities in a relation-extraction gold standard with crowdsourcing T Shu Li, BM Good, AI Su arXiv e-prints, arXiv: 1505.06256, 2015 | | 2015 |
