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Joseph D. Romano, PhD, MPhil, MA - Publications

Affiliations: 
2023- Department of Biostatistics, Epidemiology, & Informatics University of Pennsylvania, Philadelphia, PA, United States 
Area:
Translational Bioinformatics, Computational Toxicology
Website:
jdr.bio
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17 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2024 Li R, Romano JD, Chen Y, Moore JH. Centralized and Federated Models for the Analysis of Clinical Data. Annual Review of Biomedical Data Science. PMID 38723657 DOI: 10.1146/annurev-biodatasci-122220-115746  0.726
2024 Romano JD, Truong V, Kumar R, Venkatesan M, Graham BE, Hao Y, Matsumoto N, Li X, Wang Z, Ritchie MD, Shen L, Moore JH. The Alzheimer's Knowledge Base: A Knowledge Graph for Alzheimer Disease Research. Journal of Medical Internet Research. 26: e46777. PMID 38635981 DOI: 10.2196/46777  0.694
2023 Romano JD, Mei L, Senn J, Moore JH, Mortensen HM. Exploring genetic influences on adverse outcome pathways using heuristic simulation and graph data science. Computational Toxicology (Amsterdam, Netherlands). 25. PMID 37829618 DOI: 10.1016/j.comtox.2023.100261  0.501
2023 Romano JD, Li H, Napolitano T, Realubit R, Karan C, Holford M, Tatonetti NP. Discovering Venom-Derived Drug Candidates Using Differential Gene Expression. Toxins. 15. PMID 37505720 DOI: 10.3390/toxins15070451  0.581
2023 Hao Y, Romano JD, Moore JH. Knowledge graph aids comprehensive explanation of drug and chemical toxicity. Cpt: Pharmacometrics & Systems Pharmacology. PMID 37475158 DOI: 10.1002/psp4.12975  0.702
2022 Hao Y, Romano JD, Moore JH. Knowledge-guided deep learning models of drug toxicity improve interpretation. Patterns (New York, N.Y.). 3: 100565. PMID 36124309 DOI: 10.1016/j.patter.2022.100565  0.715
2022 Romano JD, Hao Y, Moore JH, Penning TM. Automating Predictive Toxicology Using ComptoxAI. Chemical Research in Toxicology. PMID 35819939 DOI: 10.1021/acs.chemrestox.2c00074  0.718
2022 Romano JD, Hao Y, Moore JH. Improving QSAR Modeling for Predictive Toxicology using Publicly Aggregated Semantic Graph Data and Graph Neural Networks. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 27: 187-198. PMID 34890148  0.706
2021 Manduchi E, Romano JD, Moore JH. The promise of automated machine learning for the genetic analysis of complex traits. Human Genetics. PMID 34713318 DOI: 10.1007/s00439-021-02393-x  0.473
2021 Romano JD, Le TT, La Cava W, Gregg JT, Goldberg DJ, Chakraborty P, Ray NL, Himmelstein D, Fu W, Moore JH. PMLB v1.0: An open-source dataset collection for benchmarking machine learning methods. Bioinformatics (Oxford, England). PMID 34677586 DOI: 10.1093/bioinformatics/btab727  0.496
2020 Romano JD, Moore JH. Ten simple rules for writing a paper about scientific software. Plos Computational Biology. 16: e1008390. PMID 33180774 DOI: 10.1371/journal.pcbi.1008390  0.477
2020 Manduchi E, Fu W, Romano JD, Ruberto S, Moore JH. Embedding covariate adjustments in tree-based automated machine learning for biomedical big data analyses. Bmc Bioinformatics. 21: 430. PMID 32998684 DOI: 10.1186/s12859-020-03755-4  0.517
2019 Romano JD, Tatonetti NP. Informatics and Computational Methods in Natural Product Drug Discovery: A Review and Perspectives. Frontiers in Genetics. 10: 368. PMID 31114606 DOI: 10.3389/Fgene.2019.00368  0.665
2016 Romano JD, Tatonetti NP. Using a Novel Ontology to Inform the Discovery of Therapeutic Peptides from Animal Venoms. Amia Joint Summits On Translational Science Proceedings. Amia Joint Summits On Translational Science. 2016: 209-18. PMID 27570672  0.613
2015 Romano JD, Tatonetti NP. VenomKB, a new knowledge base for facilitating the validation of putative venom therapies. Scientific Data. 2: 150065. PMID 26601758 DOI: 10.1038/Sdata.2015.65  0.651
2015 Boland MR, Jacunski A, Lorberbaum T, Romano JD, Moskovitch R, Tatonetti NP. Systems biology approaches for identifying adverse drug reactions and elucidating their underlying biological mechanisms. Wiley Interdisciplinary Reviews. Systems Biology and Medicine. PMID 26559926 DOI: 10.1002/Wsbm.1323  0.525
2015 Romano JD, Tharp WG, Sarkar IN. Adapting simultaneous analysis phylogenomic techniques to study complex disease gene relationships. Journal of Biomedical Informatics. 54: 10-38. PMID 25592479 DOI: 10.1016/J.Jbi.2015.01.002  0.641
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