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Genome Biology|October 4, 2025
Unico: a unified model for cell-type resolution genomics from heterogeneous omics dataZeyuan Johnson Chen, Elior Rahmani, Eran Halperin
Genome Biology|July 14, 2019
CONFINED: distinguishing biological from technical sources of variation by leveraging multiple methylation datasetsMike Thompson, Zeyuan Johnson Chen, Elior Rahmani, et al.
Research Square|September 24, 2024
Epigenetic patient stratification via contrastive machine learning refines hallmark biomarkers in minoritized children with asthmaAditya Gorla, Jonathan Witonsky, Jennifer R Elhawary, et al.
Biorxiv : the Preprint Server for Biology|September 5, 2025
Integrated ambient modeling and genetic demultiplexing of single-cell RNA+ATAC multiome experiments with AmbimuxMarcus Alvarez, Terence Li, Seung Hyuk T Lee, et al.
Nature Communications|April 20, 2026
Adipose single cell epigenome and transcriptome localize genetic risk for cardiometabolic disease and accelerated agingSeung Hyuk T Lee, Asha Kar, Kyla Z Gelev, et al.
Biorxiv : the Preprint Server for Biology|November 18, 2024
Single-cell DNA methylome and 3D genome atlas of the human subcutaneous adipose tissueZeyuan Johnson Chen, Sankha Subhra Das, Asha Kar, et al.
Medrxiv : the Preprint Server for Health Sciences|September 15, 2025
Epigenetic patient stratification reveals a sub-endotype of type 2 asthma with altered B-cell responseAditya Gorla, Jonathan Witonsky, Zeyuan Johnson Chen, et al.
Nature Genetics|August 20, 2025
Single-cell DNA methylome and 3D genome atlas of human subcutaneous adipose tissueZeyuan Johnson Chen, Sankha Subhra Das, Asha Kar, et al.
Graefe'S Archive for Clinical and Experimental Ophthalmology = Albrecht Von Graefes Archiv Fur Klinische Und Experimentelle Ophthalmologie|May 9, 2026
A deep learning model for automated identification of age-related macular degeneration atrophyOren Avram, Yahel Shwartz, Adi Green, et al.
Nature Biomedical Engineering|October 1, 2024
Accurate prediction of disease-risk factors from volumetric medical scans by a deep vision model pre-trained with 2D scansOren Avram, Berkin Durmus, Nadav Rakocz, et al.
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