Author

Paula Mabee

University of South DakotaORCID 0000-0002-8455-3213Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Paula Mabee1 paper

Biology Disciplines

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Bioinformatics· 2 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:gene regulatory network inference· 2 Organism:mouse· 2 Organism:zebrafish· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1

Frequent Co-Authors

Erliang ZengiD· 2 shared Pasan Chinthana FernandoiD· 2 shared Hilmar LappiD· 1 shared Hong Cui· 1 shared James P. BalhoffiD· 1 shared Nizar Ibrahim· 1 shared Prashanti MandaiD· 1 shared T. Alexander DececchiiD· 1 shared

Activity by Year

2018-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersBioinformatics

Erliang ZengORCID

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3 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJan 28, 2021

Gene network module changes associated with the vertebrate fin to limb transition

Pasan Chinthana Fernando, Paula Mabee, Erliang Zeng

This study identifies gene network module changes during the vertebrate fin to limb transition by comparing zebrafish and mouse gene networks.

DOI 10.1101/2021.01.28.428646

𝕏 PostBluesky

BioinformaticsBMC BioinformaticsPeer-reviewedOct 7, 2020

Integration of anatomy ontology data with protein-protein interaction networks improves the candidate gene prediction accuracy for anatomical entities

Pasan Chinthana Fernando, Paula Mabee, Erliang Zeng

The paper integrates anatomy ontology data with PPI networks to improve candidate gene prediction accuracy for anatomical entities in zebrafish and mouse.

16 citations

𝕏 PostBluesky

Evolutionary BiologybioRxivMay 15, 2018

Annotation of phenotypes using ontologies: a Gold Standard for the training and evaluation of natural language processing systems

Wasila Dahdul, Prashanti Manda, Hong Cui…·Paula M. Mabee

The paper introduces a Gold Standard corpus for ontology-based phenotype annotation and evaluates a tool's performance against human annotations.

DOI 10.1093/database/bay110

proteomicsmetagenomics

𝕏 PostBluesky