Author

V. D. Calhoun

Georgia State UniversityORCID 0000-0002-8471-9287Unclaimed ORCID profile · follow to get notified of new preprints

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Biology Disciplines

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Bioinformatics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:imaging· 2 Research Focus:benchmarking· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1

Frequent Co-Authors

Alex Loftus· 1 shared Brian S. CaffoiD· 1 shared Carey E. PriebeiD· 1 shared Daniel S. MarguliesiD· 1 shared Dawn JenseniD· 1 shared Derek PisneriD· 1 shared Disa MhembereiD· 1 shared Elaheh Zendehrouh· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperBioinformatics

Alex Loftus

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2 papers

Recent·Most cited

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

Jaewon Chung, Ross Lawrence, Alex Loftus, Derek Pisner, Gregory Kiar, Eric Bridgeford, William Gray Roncal, Vikram Chandrashekhar, Disa Mhembere, Sephira G. Ryman, Xi‐Nian Zuo, Daniel S. Margulies, Richard Cameron Craddock, Carey E. Priebe, Rex Eugene Jung, , 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.

bioRxiv · Nov 1, 2021 · PreprintBioinformatics

Impact of Model Order Choice on the Results of Parallel Independent Component Analysis

Dawn Jensen, Elaheh Zendehrouh, Jingyu Liu, V. D. Calhoun, J. A. Turner

This study evaluates how model order selection affects parallel independent component analysis (pICA) results in schizophrenia research, finding consistent sensitivity to disorder effects and partial capture of spatial patterns by the MDL algorithm.

bioRxiv · Aug 31, 2020 · PreprintNeuroscience