Author

Fang‐Chi Hsu

Wake Forest UniversityORCID 0000-0001-6955-929XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Assay:ATAC-seq· 1 Assay:bulk RNA-seq· 1 Assay:DNA methylation· 1 Assay:electronic health records· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:proteomics· 1

Frequent Co-Authors

Ali Tuğrul BalcıiD· 1 shared Andrea Lynn HeveneriD· 1 shared Anna A. Ivanova· 1 shared Archana Natarajan RajaiD· 1 shared Bailey E. Jackson· 1 shared Barry I. FreedmaniD· 1 shared Benjamin G. KeiD· 1 shared Bingqing ZhaoiD· 1 shared

Activity by Year

2018-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperGenomics

Ali Tuğrul BalcıORCID

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2 papers

Recent·Most cited

GenomicsNature CommunicationsPeer-reviewedMar 21, 2026

Multi-omic identification of key transcriptional regulatory programs during endurance exercise training in rats

Gregory R. Smith, Bingqing Zhao, Maléne E. Lindholm…·Ian R. Lanza

The paper identifies tissue-specific transcriptional regulatory programs in rats undergoing endurance exercise training by integrating chromatin accessibility, DNA methylation, and gene expression data.

11 citationstop 2%

ratATAC-seq

𝕏 PostBluesky

BioinformaticsbioRxivPreprintJul 4, 2018

Progression of chronic kidney disease in African American with type 2 diabetes mellitus using topology learning in electronic medical records

Li Wang, Xufei Zheng, Lynn S. Huang…·Jing Su

This study uses EMRs and GWAS data to map CKD progression trajectories in African Americans with type 2 diabetes, identifying high-risk and low-risk pathways linked to APOL1 genotypes.

3 citations

humanelectronic health records

𝕏 PostBluesky