Author

Shuangquan Zhang

Jilin University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Assay:ATAC-seq· 1 Research Focus:benchmarking· 1 Assay:ChIP-seq· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Approach:graph neural network· 1

Frequent Co-Authors

Anjun MaiD· 2 shared Yan WangiD· 2 shared Cankun WangiD· 1 shared Dong Xu· 1 shared Lili YangiD· 1 shared Nan ShengiD· 1 shared Qin MaiD· 1 shared Xiaotian WuiD· 1 shared

Activity by Year

2021-2022 · peak 1/yr

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10 top collaborators · 29 mutual co-author links

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2 shared papersBioinformatics

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

𝕏 PostBluesky

BioinformaticsBriefings in BioinformaticsPeer-reviewedSep 8, 2021

Assessing deep learning algorithms in cis-regulatory motif finding based on genomic sequencing data

Yan Wang, Shuangquan Zhang, Anjun Ma…·Qin Ma

This study evaluates 20 deep learning models for cis-regulatory motif finding using genomic data, finding that model choice depends on data type and size.

25 citations

ChIP-seqdeep learning

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