Author

Vladimir Braverman

Johns Hopkins UniversityORCID 0000-0001-7709-8753Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:clustering· 2 Assay:scRNA-seq· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:dimensionality reduction· 1

Frequent Co-Authors

Ben LangmeadiD· 2 shared Daniel N. BakeriD· 2 shared Stephanie C. HicksiD· 2 shared Nathan Dyjack· 1 shared Nathan T. DyjackiD· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 9 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

2 shared papersBioinformatics

Ben LangmeadORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

BioinformaticsBiostatisticsPeer-reviewedAug 24, 2022

A scalable and unbiased discordance metric with H+

Nathan T. Dyjack, Daniel N. Baker, Vladimir Braverman…·Stephanie C. Hicks

The paper introduces H+, a scale-agnostic and group-balance invariant discordance metric for clustering, and provides scalable methods to compute it.

4 citations

scRNA-seqstatistical model

𝕏 PostBluesky

BioinformaticsbioRxivPreprintMar 24, 2021

minicore: Fast scRNA-seq clustering with various distance measures

Daniel N. Baker, Nathan Dyjack, Vladimir Braverman…·Ben Langmead

minicore provides fast and memory-efficient scRNA-seq clustering using various distance measures, achieving results on large datasets in minutes with minimal resources.

1 citation

scRNA-seqstatistical model

𝕏 PostBluesky