Author

Se-Young Kim

Carnegie Mellon UniversityORCID 0000-0003-2939-1036Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:gene regulatory network inference· 2 Organism:human· 2 Approach:statistical model· 2 Assay:ChIP-seq· 1 Assay:GWAS summary statistics· 1

Frequent Co-Authors

Calvin McCarteriD· 1 shared Jing Xiang· 1 shared Judie Ann HowrylakiD· 1 shared

Activity by Year

2018-2020 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 1 mutual co-author link

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperBioinformatics

Calvin McCarterORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

BioinformaticsPLoS Computational BiologyPeer-reviewedOct 23, 2020

Learning Gene Networks Underlying Clinical Phenotypes Using SNP Perturbations

Calvin McCarter, Judie Ann Howrylak, Se-Young Kim

This paper introduces Perturb-Net, a framework that learns gene networks modulating SNP effects on phenotypes, revealing molecular mechanisms behind genetic associations in asthma.

7 citations

humanGWAS summary statistics

𝕏 PostBluesky

BioinformaticsbioRxivPreprintSep 10, 2018

Identifying functional targets from transcription factor binding data using SNP perturbation

Jing Xiang, Se-Young Kim

This study uses SNP perturbation from population data to identify functional targets of transcription factors from binding data, distinguishing direct and indirect targets without experimental perturbation.

1 citation

humanChIP-seq

𝕏 PostBluesky