Adapting simultaneous analysis phylogenomic techniques to study complex disease gene relationships. - Joseph D. Romano; William G. Tharp; Indra Neil Sarkar (J. Biomed. Informatics, 2015)

The Use of Informatics to Reduce Disparities in Transgender Health. - Kenrick Cato; Joseph D. Romano; Rami Vanguri; Nicholas P. Tatonetti (AMIA, 2017)

Deep recurrent neural networks identify transgender patients. - Joseph D. Romano; Kenrick Cato; Rami Vanguri; Nicholas P. Tatonetti (AMIA, 2017)

Using model classifications as quantitative traits to estimate stroke heritability. - Phyllis M. Thangaraj; Fernanda C. Polubriaginof; Benjamin Kummer; Rami Vanguri; Tal Lorberbaum; Joseph D. Romano; Kayla Quinnies; Alexandre Yahi; Mitchell S. V. Elkind; Nicholas P. Tatonetti (AMIA, 2018)

Hasasia: A Python package for Pulsar Timing Array Sensitivity Curves. - Jeffrey S. Hazboun; Joseph D. Romano; Tristan L. Smith (J. Open Source Softw., 2019)

Embedding covariate adjustments in tree-based automated machine learning for biomedical big data analyses. - Elisabetta Manduchi; Weixuan Fu; Joseph D. Romano; Stefano Ruberto; Jason H. Moore (BMC Bioinform., 2020)

Is deep learning necessary for simple classification tasks? - Joseph D. Romano; Trang T. Le; Weixuan Fu; Jason H. Moore (CoRR, 2020)

Ten simple rules for writing a paper about scientific software. - Joseph D. Romano; Jason H. Moore (PLoS Comput. Biol., 2020)

TPOT-NN: augmenting tree-based automated machine learning with neural network estimators. - Joseph D. Romano; Trang T. Le; Weixuan Fu; Jason H. Moore (Genet. Program. Evolvable Mach., 2021)

PMLB v1.0: an open-source dataset collection for benchmarking machine learning methods. - Joseph D. Romano; Trang T. Le; William G. La Cava; John T. Gregg; Daniel J. Goldberg; Praneel Chakraborty; Natasha L. Ray; Daniel S. Himmelstein; Weixuan Fu; Jason H. Moore (Bioinform., 2022)

Knowledge-guided deep learning models of drug toxicity improve interpretation. - Yun Hao; Joseph D. Romano; Jason H. Moore (Patterns, 2022)

Extending Tree-Based Automated Machine Learning to Biomedical Image and Text Data Using Custom Feature Extractors. - Rachit Kumar; Joseph D. Romano; Marylyn D. Ritchie; Jason H. Moore (GECCO Companion, 2023)

Enhancing Molecular Representation Learning Through the Combination of 3D and 2D Graph Machine Learning (Student Abstract). - Ian Tong Pan; Joseph D. Romano (AAAI, 2025)

Network-based analyses of multiomics data in biomedicine. - Rachit Kumar; Joseph D. Romano; Marylyn D. Ritchie (BioData Min., 2025)