Monica Isgut

According to our database, Monica Isgut authored at least 6 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Interpretable Neural Networks Reveal Gene Interactions Underlying Autoimmune Disease Risk.

Monica Isgut, Andrew Hornback, Karan Samel, Logan Gloster, Neha Jain, Kyungbeom Kim, May Dongmei Wang

Proceedings of the 16th ACM International Conference on Bioinformatics, 2025

2024

Uncovering Key Features of Individuals Who Benefit from Polygenic Risk Scores in Prostate Cancer Prediction.

Andrew Hornback, Monica Isgut, Anirudh Jaishankar, Harinishree Sathu, Pavithra Avula, May D. Wang

Proceedings of the 15th ACM International Conference on Bioinformatics, 2024

2023

GeneDAE: A Sparse Denoising Autoencoder for Deriving Interpretable Gene Embeddings.

Monica Isgut, Neha Jain, Andrew Hornback, Karan Samel, May Dongmei Wang

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Latent Topic Extraction as a Source of Labeling in Natural Language Processing.

Andrew Hornback, Yuanda Zhu, Monica Isgut, Wenqi Shi, Arjita Nema, Blake J. Anderson, May D. Wang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2021

Explainable Artificial Intelligence Methods in Combating Pandemics: A Systematic Review.

Felipe O. Giuste, Wenqi Shi, Yuanda Zhu, Tarun Naren, Monica Isgut, Ying Sha, Li Tong, Mitali S. Gupte, May D. Wang

CoRR, 2021

Automated Risk Assessment of COVID-19 Patients at Diagnosis Using Electronic Healthcare Records.

Felipe O. Giuste, Lawrence L. He, Monica Isgut, Wenqi Shi, Blake J. Anderson, May D. Wang

Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021