Author

Kelsey Luu

Fred Hutch Cancer CenterORCID 0000-0002-1186-0538Unclaimed 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

Organism:human· 2 Assay:ATAC-seq· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Aaron LeeiD· 1 shared Andrew E. TimmsiD· 1 shared Anna C. H. HogeiD· 1 shared Atish Dipankar ChoudhuryiD· 1 shared Eliezer M. Van AlleniD· 1 shared Gavin HaiD· 1 shared Jian Carrot‐ZhangiD· 1 shared Leah S. VandenBoschiD· 1 shared

Activity by Year

2022-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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 paperGenomics

Aaron LeeORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

GenomicsJCI InsightPeer-reviewedAug 9, 2022

Patterns of Structural Variation Define Prostate Cancer Across Disease States

Meng Zhou, Minjeong Ko, Anna C. H. Hoge…·Gavin Ha

This study identifies distinct structural variation patterns in prostate cancer across disease states, defining clinically actionable subgroups based on whole genome profiling.

27 citations

humanwhole-genome sequencing

𝕏 PostBluesky

GenomicsTranslational Vision Science & TechnologyPeer-reviewedApr 18, 2022

Machine Learning Prediction of Non-Coding Variant Impact in Human Retinal Cis-Regulatory Elements

Leah S. VandenBosch, Kelsey Luu, Andrew E. Timms…·Timothy J. Cherry

The paper trains a machine learning model on human retinal epigenomic data to predict the functional impact of non-coding regulatory variants.

11 citations

humanATAC-seq

𝕏 PostBluesky