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CPT: Pharmacometrics & Systems Pharmacology|July 21, 2023
Knowledge graph aids comprehensive explanation of drug and chemical toxicityYun Hao, Joseph D Romano, Jason H MoorePacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 10, 2021
Improving QSAR Modeling for Predictive Toxicology using Publicly Aggregated Semantic Graph Data and Graph Neural NetworksJoseph D Romano, Yun Hao, Jason H MoorePatterns (New York, N.Y.)|September 20, 2022
Knowledge-guided deep learning models of drug toxicity improve interpretationYun Hao, Joseph D Romano, Jason H MooreChemical Research in Toxicology|July 12, 2022
Automating Predictive Toxicology Using ComptoxAIJoseph D Romano, Yun Hao, Jason H Moore, et al.Plos Computational Biology|November 12, 2020
Ten simple rules for writing a paper about scientific softwareJoseph D Romano, Jason H MooreHuman Genetics|October 29, 2021
The promise of automated machine learning for the genetic analysis of complex traitsElisabetta Manduchi, Joseph D Romano, Jason H MooreJournal of Chemical Information and Modeling|November 10, 2021
TargetTox: A Feature Selection Pipeline for Identifying Predictive Targets Associated with Drug ToxicityYun Hao, Jason H MooreAnnual Review of Biomedical Data Science|May 9, 2024
Centralized and Federated Models for the Analysis of Clinical DataRuowang Li, Joseph D Romano, Yong Chen, et al.Genetic Programming and Evolvable Machines|August 7, 2025
TPOT-NN: augmenting tree-based automated machine learning with neural network estimatorsJoseph D Romano, Trang T Le, Weixuan Fu, et al.BMC Bioinformatics|October 1, 2020
Embedding covariate adjustments in tree-based automated machine learning for biomedical big data analysesElisabetta Manduchi, Weixuan Fu, Joseph D Romano, et al.Pageof 97