Attri Ghosh

According to our database, Attri Ghosh authored at least 6 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

The tree-based pipeline optimization tool: Tackling biomedical research problems with genetic programming and automated machine learning.

Jose Guadalupe Hernandez, Anil Kumar Saini, Attri Ghosh, Jason H. Moore

Patterns, 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

Automated quantitative trait locus analysis (AutoQTL).

Philip J. Freda, Attri Ghosh, Elizabeth Zhang, Tianhao Luo, Apurva S. Chitre, Oksana Polesskaya, Celine L. St. Pierre, Jianjun Gao, Connor D. Martin, Hao Chen, Angel G. Garcia-Martinez, Tengfei Wang, Wenyan Han, Keita Ishiwari, Paul Meyer, Alexander Lamparelli, Christopher P. King, Abraham A. Palmer, Ruowang Li, Jason H. Moore

BioData Min., January, 2023