Author

Linda K. Hong

Duke University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 2 Organism:human· 2 Approach:Bayesian inference· 1 Assay:bulk RNA-seq· 1 Assay:ChIP-seq· 1 Research Focus:differential expression· 1 Approach:statistical model· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Timothy E. ReddyiD· 2 shared Alejandro BarreraiD· 1 shared Alexander J. HarteminkiD· 1 shared Alexias SafiiD· 1 shared Alok K. TewariiD· 1 shared Barbara Elizabeth EngelhardtiD· 1 shared Bianca DumitrascuiD· 1 shared Brian JoiD· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersBioinformatics

Timothy E. ReddyORCID

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2 papers

Recent·Most cited

BioinformaticsGenome ResearchPeer-reviewedJun 1, 2022

Quantitative occupancy of myriad transcription factors from one DNase experiment enables efficient comparisons across conditions

Kaixuan Luo, Jianling Zhong, Alexias Safi…·Alexander J. Hartemink

The paper introduces TOP, a Bayesian framework that quantifies TF occupancy across many conditions using a single DNase-seq experiment, showing changes in 1500 TF motifs across cell types, hormone exposure, and genetic backgrounds.

3 citations

humanChIP-seq

𝕏 PostBluesky

BioinformaticsPLoS Computational BiologyPeer-reviewedJan 29, 2021

Causal Network Inference from Gene Transcriptional Time Series Response to Glucocorticoids

Jonathan Lu, Bianca Dumitrascu, Ian C. McDowell…·Barbara Elizabeth Engelhardt

The paper introduces BETS, a statistical framework for inferring gene regulatory networks from transcriptional time series data, and validates it using glucocorticoid response data and external sources.

35 citations

humanbulk RNA-seq

𝕏 PostBluesky