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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.
Bioinformatics (Oxford, England)|June 6, 2019
Scaling tree-based automated machine learning to biomedical big data with a feature set selectorTrang T Le, Weixuan Fu, Jason H Moore
IEEE/ACM Transactions on Computational Biology and Bioinformatics|July 26, 2021
Genetic Analysis of Coronary Artery Disease Using Tree-Based Automated Machine Learning Informed By Biology-Based Feature SelectionElisabetta Manduchi, 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.
Bioinformatics (Oxford, England)|October 22, 2021
PMLB v1.0: an open-source dataset collection for benchmarking machine learning methodsJoseph D Romano, Trang T Le, William La Cava, et al.
Bioinformatics (Oxford, England)|July 24, 2020
treeheatr: an R package for interpretable decision tree visualizationsTrang T Le, Jason H Moore
Plos Computational Biology|November 12, 2020
Ten simple rules for writing a paper about scientific softwareJoseph D Romano, Jason H Moore
CPT: Pharmacometrics & Systems Pharmacology|July 21, 2023
Knowledge graph aids comprehensive explanation of drug and chemical toxicityYun Hao, Joseph D Romano, Jason H Moore
Patterns (New York, N.Y.)|September 20, 2022
Knowledge-guided deep learning models of drug toxicity improve interpretationYun Hao, Joseph D Romano, Jason H Moore
Pacific 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 Moore
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