Author

Martin Kjellberg

Stanford MedicineORCID 0009-0004-4345-1503Unclaimed 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:benchmarking· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Andrew GrimsoniD· 1 shared David Shing Huk IuiD· 1 shared Durga Devi Thota· 1 shared Faraz AhmediD· 1 shared Fereshteh JahanbaniiD· 1 shared Han LiiD· 1 shared Jennifer K. GrenieriD· 1 shared Johnathan Cooper‐KnockiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperGenetic & Genomic Medicine

Andrew GrimsonORCID

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1 paper

Recent·Most cited

Dissecting the genetic complexity of myalgic encephalomyelitis/chronic fatigue syndrome via deep learning-powered genome analysis

Sai Zhang, Fereshteh Jahanbani, Varuna Chander, Martin Kjellberg, Menghui Liu, Katherine A. Glass, David Shing Huk Iu, Faraz Ahmed, Han Li, Rajan Douglas Maynard, Tristan Chou, Johnathan Cooper‐Knock, Martin Jinye Zhang, Durga Devi Thota, Michael Zeineh, , Michael P. Snyder

This study uses a deep learning framework to analyze whole-genome data from ME/CFS patients, identifying risk genes and linking them to disease symptoms and other complex traits.

medRxiv · Apr 15, 2025 · PreprintGenetic & Genomic Medicine