Author

Disa Mhembere

Johns Hopkins UniversityORCID 0000-0003-2840-2127Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:experimental assay· 2 Organism:human· 2 Research Focus:software / tool· 2 Research Focus:database / resource· 1 Assay:imaging· 1 Assay:multiome· 1

Frequent Co-Authors

Brian S. CaffoiD· 2 shared Carey E. PriebeiD· 2 shared Daniel S. MarguliesiD· 2 shared Eric BridgefordiD· 2 shared Gregory KiariD· 2 shared Joshua T VogelsteiniD· 2 shared Michael Peter MilhamiD· 2 shared Randal C. BurnsiD· 2 shared

Activity by Year

2018-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Brian S. CaffoORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintNov 1, 2021

A low-resource reliable pipeline to democratize multi-modal connectome estimation and analysis

Jaewon Chung, Ross Lawrence, Alex Loftus…·Joshua T Vogelstein

This paper introduces a low-resource pipeline for estimating connectomes from MRI data, demonstrating its reliability across diverse datasets without manual intervention.

2 citations

humanimaging

𝕏 PostBluesky

NeurosciencebioRxivPreprintApr 24, 2018

A High-Throughput Pipeline Identifies Robust Connectomes But Troublesome Variability

Gregory Kiar, Eric Bridgeford, William Gray Roncal…·Joshua T Vogelstein

The paper develops a pipeline to estimate connectomes from neuroimaging data, showing high consistency within individuals but significant variability across studies and sites.

38 citations

humanmultiome

𝕏 PostBluesky