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Neuroinformatics|April 26, 2018
GPU Accelerated Browser for Neuroimaging GenomicsBob Zigon, Huang Li, Xiaohui Yao, et al.
Genetic Epidemiology|October 5, 2019
Embracing study heterogeneity for finding genetic interactions in large-scale research consortiaYulun Liu, Jing Huang, Ryan J Urbanowicz, et al.
Bioinformatics (Oxford, England)|December 12, 2025
Benchmarking large language models for identifying transcription factor regulatory interactionsLake Noel, Yi-Wen Hsiao, Yimeng He, et al.
Bioinformatics (Oxford, England)|January 24, 2016
Structured sparse canonical correlation analysis for brain imaging genetics: an improved GraphNet methodLei Du, Heng Huang, Jingwen Yan, et al.
Biodata Mining|July 26, 2022
Benchmarking AutoML frameworks for disease prediction using medical claimsRoland Albert A Romero, Mariefel Nicole Y Deypalan, Suchit Mehrotra, et al.
Cardiology Research and Practice|May 12, 2011
The Association of the Metabolic Syndrome with PAI-1 and t-PA LevelsChristopher S Coffey, Folkert W Asselbergs, Patricia R Hebert, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 17, 2014
A novel structure-aware sparse learning algorithm for brain imaging geneticsLei Du, Yan Jingwen, Sungeun Kim, et al.
Inflammatory Bowel Diseases|March 7, 2024
AI-luminating Artificial Intelligence in Inflammatory Bowel Diseases: A Narrative Review on the Role of AI in Endoscopy, Histology, and Imaging for IBDPhillip Gu, Oreen Mendonca, Dan Carter, et al.
Patterns (New York, N.Y.)|December 2, 2025
Data-driven discovery of medication effects on blood glucose from electronic health recordsAmanda Momenzadeh, Caleb Cranney, So Yung Choi, et al.
Brain Informatics|October 18, 2016
Two-dimensional enrichment analysis for mining high-level imaging genetic associationsXiaohui Yao, Jingwen Yan, Sungeun Kim, et al.
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