Author

Jianting Gong

University of MissouriORCID 0000-0002-6072-3150Unclaimed 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:clustering· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Approach:graph neural network· 1 Organism:human· 1 Research Focus:imputation· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Anjun MaiD· 1 shared Cankun WangiD· 1 shared Dong He XuiD· 1 shared Hongjun FuiD· 1 shared Juexin WangiD· 1 shared Qin MaiD· 1 shared Ren QiiD· 1 shared Yuexu Jiang· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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1 shared paperBioinformatics

Anjun MaORCID

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1 paper

Recent·Most cited

scGNN: a novel graph neural network framework for single-cell RNA-Seq analyses

Juexin Wang, Anjun Ma, Yuzhou Chang, Jianting Gong, Yuexu Jiang, Ren Qi, Cankun Wang, Hongjun Fu, Qin Ma, Dong He Xu

scGNN introduces a graph neural network framework for scRNA-Seq analyses, improving gene imputation and cell clustering on benchmark datasets and revealing disease-related neural development in Alzheimer's disease.

Nature Communications · Mar 25, 2021Peer-reviewedBioinformatics