Informatics and computational methods in natural product drug discovery: a review and perspectives JD Romano, NP Tatonetti Frontiers in genetics 10, 368, 2019 | 128 | 2019 |
PMLB v1. 0: an open-source dataset collection for benchmarking machine learning methods JD Romano, TT Le, W La Cava, JT Gregg, DJ Goldberg, P Chakraborty, ... Bioinformatics 38 (3), 878-880, 2022 | 82 | 2022 |
Systems biology approaches for identifying adverse drug reactions and elucidating their underlying biological mechanisms MR Boland, A Jacunski, T Lorberbaum, JD Romano, R Moskovitch, ... Wiley Interdisciplinary Reviews: Systems Biology and Medicine 8 (2), 104-122, 2016 | 51 | 2016 |
TPOT-NN: augmenting tree-based automated machine learning with neural network estimators JD Romano, TT Le, W Fu, JH Moore Genetic Programming and Evolvable Machines 22, 207-227, 2021 | 27* | 2021 |
Knowledge-guided deep learning models of drug toxicity improve interpretation Y Hao, JD Romano, JH Moore Patterns 3 (9), 100565, 2022 | 18 | 2022 |
The promise of automated machine learning for the genetic analysis of complex traits E Manduchi, JD Romano, JH Moore Human Genetics 141 (9), 1529-1544, 2022 | 17 | 2022 |
Embedding covariate adjustments in tree-based automated machine learning for biomedical big data analyses E Manduchi, W Fu, JD Romano, S Ruberto, JH Moore BMC bioinformatics 21, 1-13, 2020 | 17 | 2020 |
Automating Predictive Toxicology Using ComptoxAI JD Romano, Y Hao, JH Moore, TM Penning Chemical Research in Toxicology 35 (8), 1370-1382, 2022 | 11 | 2022 |
Improving QSAR Modeling for Predictive Toxicology using Publicly Aggregated Semantic Graph Data and Graph Neural Networks JD Romano, Y Hao, JH Moore PACIFIC SYMPOSIUM ON BIOCOMPUTING 2022, 187-198, 2021 | 10 | 2021 |
VenomKB, a new knowledge base for facilitating the validation of putative venom therapies JD Romano, NP Tatonetti Scientific data 2 (1), 1-9, 2015 | 9 | 2015 |
VenomKB v2. 0: A knowledge repository for computational toxinology J Romano, V Nwankwo, N Tatonetti bioRxiv, 295204, 2018 | 5 | 2018 |
Adapting simultaneous analysis phylogenomic techniques to study complex disease gene relationships JD Romano, WG Tharp, IN Sarkar Journal of biomedical informatics 54, 10-38, 2015 | 5 | 2015 |
The Alzheimer’s Knowledge Base: A Knowledge Graph for Alzheimer Disease Research JD Romano, V Truong, R Kumar, M Venkatesan, BE Graham, Y Hao, ... Journal of Medical Internet Research 26, e46777, 2024 | 4 | 2024 |
Using a Novel Ontology to Inform the Discovery of Therapeutic Peptides from Animal Venoms JD Romano, NP Tatonetti AMIA Summits on Translational Science Proceedings 2016, 209, 2016 | 4 | 2016 |
Exploring genetic influences on adverse outcome pathways using heuristic simulation and graph data science JD Romano, L Mei, J Senn, JH Moore, HM Mortensen Computational Toxicology 25, 100261, 2023 | 3 | 2023 |
Ten simple rules for writing a paper about scientific software JD Romano, JH Moore PLOS Computational Biology 16 (11), e1008390, 2020 | 3 | 2020 |
Knowledge graph aids comprehensive explanation of drug and chemical toxicity Y Hao, JD Romano, JH Moore CPT: Pharmacometrics & Systems Pharmacology 12 (8), 1072-1079, 2023 | 1 | 2023 |
Omics Methods in Toxins Research—A Toolkit to Drive the Future of Scientific Inquiry JD Romano Toxins 14 (11), 761, 2022 | 1 | 2022 |
Centralized and Federated Models for the Analysis of Clinical Data R Li, JD Romano, Y Chen, JH Moore Annual Review of Biomedical Data Science 7, 2024 | | 2024 |
Extending Tree-Based Automated Machine Learning to Biomedical Image and Text Data Using Custom Feature Extractors R Kumar, J Romano, M Ritchie, J Moore Proceedings of the Companion Conference on Genetic and Evolutionary …, 2023 | | 2023 |