Nicholas Matsumoto

According to our database, Nicholas Matsumoto authored at least 9 papers between 2023 and 2025.

Collaborative distances:

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

2025

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis.

Jose Guadalupe Hernandez, Attri Ghosh, Philip J. Freda, Yufei Meng, Nicholas Matsumoto, Jason H. Moore

CoRR, May, 2025

AI-driven Automation of End-to-end Assessment of Suturing Expertise.

Atharva Deo, Nicholas Matsumoto, Sun Kim, Peter Wager, Randy G. Tsai, Aaron Denmark, Cherine Yang, Xi Li, Jay Moran, Miguel Hernandez, Andrew J. Hung

CoRR, March, 2025

Drug repurposing for Alzheimer's disease using a graph-of-thoughts based large language model to infer drug-disease relationships in a comprehensive knowledge graph.

Zhiping Paul Wang, Xi Li, Nicholas Matsumoto, Mythreye Venkatesan, Jui-Hsuan Chang, Jay Moran, Hyunjun Choi, Binglan Li, Yufei Meng, Miguel E. Hernandez, Jason H. Moore

BioData Min., 2025

2024

Distinct network patterns emerge from Cartesian and XOR epistasis models: a comparative network science analysis.

Zhendong Sha, Philip J. Freda, Priyanka Bhandary, Attri Ghosh, Nicholas Matsumoto, Jason H. Moore, Ting Hu

BioData Min., 2024

PAGER: A novel genotype encoding strategy for modeling deviations from additivity in complex trait association studies.

Philip J. Freda, Attri Ghosh, Priyanka Bhandary, Nicholas Matsumoto, Apurva S. Chitre, Jiayan Zhou, Molly A. Hall, Abraham A. Palmer, Tayo Obafemi-Ajayi, Jason H. Moore

BioData Min., 2024

Interaction models matter: an efficient, flexible computational framework for model-specific investigation of epistasis.

Sandra Batista, Vered Madar, Philip J. Freda, Priyanka Bhandary, Attri Ghosh, Nicholas Matsumoto, Apurva S. Chitre, Abraham A. Palmer, Jason H. Moore

BioData Min., 2024

2023

Aliro: an automated machine learning tool leveraging large language models.

Hyunjun Choi, Jay Moran, Nicholas Matsumoto, Miguel E. Hernandez, Jason H. Moore

Bioinform., October, 2023

TPOT2: A New Graph-Based Implementation of the Tree-Based Pipeline Optimization Tool for Automated Machine Learning.

Pedro Henrique Ribeiro, Anil Kumar Saini, Jay Moran, Nicholas Matsumoto, Hyunjun Choi, Miguel E. Hernandez, Jason H. Moore

Proceedings of the Genetic Programming Theory and Practice XX [GPTP 2023], 2023

Faster Convergence with Lexicase Selection in Tree-Based Automated Machine Learning.

Nicholas Matsumoto, Anil Kumar Saini, Pedro Henrique Ribeiro, Hyunjun Choi, Alena Orlenko, Leo-Pekka Lyytikäinen, Jari O. Laurikka, Terho Lehtimäki, Sandra Batista, Jason H. Moore

Proceedings of the Genetic Programming - 26th European Conference, 2023