Author

Nan Sheng

Affiliated Hospital of Nantong UniversityORCID 0000-0002-0306-9009Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genetics· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Assay:ATAC-seq· 1 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Research Focus:gene regulatory network inference· 1 Approach:graph neural network· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Anjun MaiD· 1 shared Huihua Ni· 1 shared Jinling CheniD· 1 shared Lili YangiD· 1 shared Sainan Gao· 1 shared Shuangquan Zhang· 1 shared Shuting GuiD· 1 shared Songlin ZhouiD· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBioinformatics

Anjun MaORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintMay 2, 2022

GraphPred: An approach to predict multiple DNA motifs from ATAC-seq data using graph neural network and coexisting probability

Shuangquan Zhang, Lili Yang, Xiaotian Wu…·Yan Wang

GraphPred predicts multiple DNA motifs from ATAC-seq data using a graph neural network and coexisting probability, outperforming existing methods on 88 datasets.

DOI 10.1101/2022.05.02.490240

ATAC-seqgraph neural network

GeneticsbioRxivPreprintNov 7, 2021

Integrated analyses of the single-cell ATAC-seq and RNA-seq reveal the epigenetic landscape of human ovarian aging

Yunzhao Xu, Jinling Chen, Shuting Gu…·Wenliang Ge

This study integrates single-cell ATAC-seq and RNA-seq to reveal the epigenetic and transcriptional changes in human ovarian aging, identifying key pathways and a predictive model for oocyte aging.

3 citations

humanscATAC-seq