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Joseph D. Romano
Joseph D. Romano
Assistant Professor of Informatics and Pharmacology, University of Pennsylvania
Verified email at pennmedicine.upenn.edu - Homepage
Title
Cited by
Cited by
Year
Informatics and computational methods in natural product drug discovery: a review and perspectives
JD Romano, NP Tatonetti
Frontiers in genetics 10, 442506, 2019
1202019
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
692022
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
502016
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
25*2021
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
172022
Knowledge-guided deep learning models of drug toxicity improve interpretation
Y Hao, JD Romano, JH Moore
Patterns 3 (9), 100565, 2022
162022
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
142020
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
92021
VenomKB, a new knowledge base for facilitating the validation of putative venom therapies
JD Romano, NP Tatonetti
Scientific data 2 (1), 1-9, 2015
92015
Automating Predictive Toxicology Using ComptoxAI
JD Romano, Y Hao, JH Moore, TM Penning
Chemical Research in Toxicology 35 (8), 1370-1382, 2022
82022
VenomKB v2. 0: A knowledge repository for computational toxinology
J Romano, V Nwankwo, N Tatonetti
bioRxiv, 295204, 2018
52018
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
52015
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
42016
Ten simple rules for writing a paper about scientific software
JD Romano, JH Moore
PLOS Computational Biology 16 (11), e1008390, 2020
22020
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
12023
Omics Methods in Toxins Research—A Toolkit to Drive the Future of Scientific Inquiry
JD Romano
Toxins 14 (11), 761, 2022
12022
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
2023
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
Discovering Venom-Derived Drug Candidates Using Differential Gene Expression
JD Romano, H Li, T Napolitano, R Realubit, C Karan, M Holford, ...
Toxins 15 (7), 451, 2023
2023
A Decade of Translational Bioinformatics: A Retrospective Analysis of “Year-in-Review” Presentations
JD Romano, M Bernauer, SP McGrath, SD Nagar, RR Freimuth
AMIA Summits on Translational Science Proceedings 2019, 335, 2019
2019
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