Author

Zhen Cui

Tongji UniversityORCID 0000-0001-5522-6750Unclaimed ORCID profile · follow to get notified of new preprints

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Zhen Cui2 papers · BGI Research

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

De-Shuang HuangiD· 2 shared Qi LiuiD· 2 shared Qinhu ZhangiD· 2 shared Siguo WangiD· 2 shared Ying HeiD· 2 shared Changan YuaniD· 1 shared Pengrui TengiD· 1 shared Yixin LiuiD· 1 shared

Activity by Year

2022-2022 · peak 2/yr

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10 top collaborators · 41 mutual co-author links

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2 shared papersBioinformatics

De-Shuang HuangORCID

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2 papers

Recent·Most cited

BioinformaticsBioinformaticsPeer-reviewedDec 9, 2022

Computational prediction and characterization of cell-type-specific and shared binding sites

Qinhu Zhang, Pengrui Teng, Siguo Wang…·De-Shuang Huang

The paper proposes two computational methods to predict and characterize cell-type-specific and shared TF binding sites using XGBoost and CNN, showing improved performance over existing methods.

22 citations

𝕏 PostBluesky

BioinformaticsPLoS Computational BiologyPeer-reviewedMar 9, 2022

Base-resolution prediction of transcription factor binding signals by a deep learning framework

Qinhu Zhang, Ying He, Siguo Wang…·De-Shuang Huang

The paper introduces a deep learning framework called FCNsignal to predict TF-DNA binding signals at base-resolution, outperforming existing methods and demonstrating its ability to locate binding regions and predict motifs.

31 citations

ChIP-seqATAC-seq

𝕏 PostBluesky