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Rebecca I Caldino Bohn

Showing results (1-10 of 4) with videos related to

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Artificial Intelligence in Medicine|September 19, 2025
Pathway information on methylation analysis using deep neural network (PROMINENT): An interpretable deep learning method with pathway prior for phenotype prediction using gene-level DNA methylationSoyeon Kim, Laizhi Zhang, Yidi Qin, et al.
Science Advances|April 22, 2026
Estimating in silico causal effects of DNA methylation on gene expression through genetic anchors in airway epithelium in asthmaSoyeon Kim, Rebecca I Caldino Bohn, Aditya Sriram, et al.
Frontiers in Pediatrics|February 16, 2023
Refining empiric subgroups of pediatric sepsis using machine-learning techniques on observational dataYidi Qin, Rebecca I Caldino Bohn, Aditya Sriram, et al.
Clinical Epigenetics|November 19, 2024
MOSES: a methylation-based gene association approach for unveiling environmentally regulated genes linked to a trait or diseaseSoyeon Kim, Yidi Qin, Hyun Jung Park, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Artificial Intelligence in Medicine|September 19, 2025
Pathway information on methylation analysis using deep neural network (PROMINENT): An interpretable deep learning method with pathway prior for phenotype prediction using gene-level DNA methylationSoyeon Kim, Laizhi Zhang, Yidi Qin, et al.
Science Advances|April 22, 2026
Estimating in silico causal effects of DNA methylation on gene expression through genetic anchors in airway epithelium in asthmaSoyeon Kim, Rebecca I Caldino Bohn, Aditya Sriram, et al.
Frontiers in Pediatrics|February 16, 2023
Refining empiric subgroups of pediatric sepsis using machine-learning techniques on observational dataYidi Qin, Rebecca I Caldino Bohn, Aditya Sriram, et al.
Clinical Epigenetics|November 19, 2024
MOSES: a methylation-based gene association approach for unveiling environmentally regulated genes linked to a trait or diseaseSoyeon Kim, Yidi Qin, Hyun Jung Park, et al.
Pageof 1