Author

Jennifer Lin

National Institutes of Health

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

Biology Disciplines

Click to filter author papers

Bioinformatics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Daniel ShrineriD· 1 shared Gracelyn HilliD· 1 shared James C. MullikiniD· 1 shared Mateus Henrique GouveiaiD· 1 shared Mickias B. Tegegn· 1 shared Nancy Fisher HanseniD· 1 shared Swee Lay TheiniD· 1 shared Temiloluwa Okulosubo· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 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 paperBioinformatics

Daniel ShrinerORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Random forest classifiers trained on simulated data enable accurate short read-based genotyping of structural variants in the alpha globin region at Chr16p13.3

Nancy Fisher Hansen, Xunde Wang, Mickias B. Tegegn, Zhi Liu, Mateus Henrique Gouveia, Gracelyn Hill, Jennifer Lin, Temiloluwa Okulosubo, Daniel Shriner, Swee Lay Thein, James C. Mullikin

The paper uses random forest classifiers trained on simulated data to accurately genotype structural variants in the alpha globin region, outperforming existing software in ancestry-specific allele frequency estimation.

bioRxiv · Nov 27, 2023 · PreprintBioinformatics