Author

Megan E. McNutt

The Ohio State UniversityORCID 0009-0002-2946-5656Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:database / resource· 2 Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:graph neural network· 1 Organism:mouse· 1

Frequent Co-Authors

Anjun MaiD· 2 shared Cankun WangiD· 2 shared Qin MaiD· 2 shared Afaf E.G. OsmaniD· 1 shared Ahmad A. TarhiniiD· 1 shared Aik Choon TaniD· 1 shared Alexandra P. IkeguchiiD· 1 shared Bryan Paul SchneideriD· 1 shared

Activity by Year

2024-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Anjun MaORCID

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2 papers

Recent·Most cited

A Single-cell and Spatial RNA-seq Database for Alzheimer's Disease (ssREAD)

Cankun Wang, Diana M. Acosta, Megan E. McNutt, Jiang Bian, Anjun Ma, Hongjun Fu, Qin Ma

ssREAD is a database that compiles single-cell and spatial RNA-seq data for Alzheimer's Disease, offering analysis tools for integrative studies.

Nature Communications · Jun 6, 2024Peer-reviewedBioinformatics

A bioinformatics tool for identifying intratumoral microbes from the ORIEN dataset

Cankun Wang, Anjun Ma, Yingjie Li, Megan E. McNutt, Shiqi Zhang, Jiangjiang Zhu, Rebecca Hoyd, Caroline E. Wheeler, Lary A. Robinson, Carlos H.F. Chan, Yousef Zakharia, Rebecca D. Dodd, Cornelia M. Ulrich, Sheetal S. Hardikar, Michelle L. Churchman, , Qin Ma

The paper introduces MEGA, a tool to identify cancer-associated microbes using RNA-seq data from the ORIEN dataset, leveraging graph attention networks and microbial community information.

Cancer Research Communications · Jan 23, 2024Peer-reviewedBioinformatics