Author

Naomi Shin

Carnegie Mellon 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

Click to filter author papers

Genomics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:ATAC-seq· 1 Research Focus:cell type annotation· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Alyssa J. LawleriD· 1 shared Andreas R. PfenningiD· 1 shared Ashley R. BrowniD· 1 shared BaDoi N. PhaniD· 1 shared Bilge Esin ÖztürkiD· 1 shared Easwaran RamamurthyiD· 1 shared Grant A FoxiD· 1 shared Irene M. KaplowiD· 1 shared

Activity by Year

2022-2022 · 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 paperGenomics

Alyssa J. LawlerORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Machine learning sequence prioritization for cell type-specific enhancer design

Alyssa J. Lawler, Easwaran Ramamurthy, Ashley R. Brown, Naomi Shin, Yeonju Kim, Noelle Toong, Irene M. Kaplow, Morgan E. Wirthlin, Xiaoyu Zhang, BaDoi N. Phan, Grant A Fox, Kirsten Wade, Jing He, Bilge Esin Öztürk, Leah C. Byrne, , Andreas R. Pfenning

The paper introduces SNAIL, a virus-based method using machine learning to design cell type-specific enhancer probes for targeted nuclear isolation and characterization.

eLife · Apr 25, 2022Peer-reviewedGenomics