Author

Dheeman Saha

University of New MexicoORCID 0000-0002-7925-4235Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 1 Assay:GWAS summary statistics· 1 Approach:machine learning (classical)· 1

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Christopher Ian AmosiD· 1 shared Jinyoung ByuniD· 1 shared Katherine Siminovitch· 1 shared Vikram R. ShawiD· 1 shared Younghun HaniD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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5 top collaborators · 10 mutual co-author links

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1 shared paperGenomics

Christopher Ian AmosORCID

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1 paper

Recent·Most cited

GenomicsbioRxivPreprintAug 9, 2026

Uncovering High-Order Epistatic Interactions in GWAS via a Machine Learning-Based Feature Engineering Framework

Jinyoung Byun, Dheeman Saha, Younghun Han…·Christopher Ian Amos

The paper introduces a machine learning framework to detect high-order genetic interactions in GWAS by encoding decision paths from classification trees as features, improving model accuracy and interpretability.

DOI 10.64898/2026.08.03.742638

GWAS summary statisticsmachine learning (classical)

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