Author

Shaoting Zhang

Shanghai Artificial Intelligence LaboratoryORCID 0000-0002-8719-448XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Genomics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 4 Research Focus:benchmarking· 2 Research Focus:clustering· 1 Research Focus:dimensionality reduction· 1 Research Focus:drug response / drug discovery· 1 Assay:Hi-C· 1 Organism:human· 1 Research Focus:imputation· 1

Frequent Co-Authors

Mu ZhouiD· 2 shared Annabel M.J. Adams· 1 shared Baoming Zhong· 1 shared Chen Li· 1 shared Denis Tan· 1 shared Dingwen Zhang· 1 shared Edwin Long· 1 shared Guofeng Lyu· 1 shared

Activity by Year

2022-2025 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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2 shared papersBioinformatics

Mu ZhouORCID

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Author profile →

4 papers

Recent·Most cited

D-LMBmapX: Generalised Deep Learning Pipeline for 5D Whole-brain Circuitry Profiling

Zhongyu Li, Peiqi Li, Hangzhen Pan, Annabel M.J. Adams, Zuqi Huang, Yaoyu Su, He Liu, Jinjiang Li, Baoming Zhong, Yuqin Su, Liam Bray, Robyn N. Sturgess, Chen Li, Jihua Zhu, Dingwen Zhang, , Jing Ren

D-LMBmapX provides a deep learning pipeline for automated whole-brain circuitry profiling across development, enabling accurate registration and analysis of neural connectivity.

bioRxiv · Feb 25, 2025 · PreprintNeuroscience

Dynamic Interaction Learning and MultimodalRepresentation for Drug Response Prediction

Yanguang Bi, Mu Zhou, Zhiqiang Hu, Shaoting Zhang, Guofeng Lyu

This paper introduces a dynamic interaction learning network for drug response prediction, achieving high AUC scores on drug-protein interaction and cancer drug response tasks.

bioRxiv · Nov 23, 2022 · PreprintBioinformatics

FINDEL: A Deep Learning Approach To Efficient Artifact Removal From Cancer Genomes

Denis Tan, Pengfei Zhou, Shaoting Zhang, Vicpearly Wong, Jie Zhang, Edwin Long

FINDEL uses deep learning and mutational signatures to automate artifact removal from cancer genome sequencing data, improving variant call quality and reducing manual labor.

bioRxiv · Nov 12, 2022 · PreprintGenomics

Deep generative modeling and clustering of single cell Hi-C data

Qiao Liu, Wanwen Zeng, Wei Zhang, Sicheng Wang, Hongyang Chen, Rui Jiang, Mu Zhou, Shaoting Zhang

This paper introduces scDEC-Hi-C, a deep generative framework for analyzing single cell Hi-C data, showing improved clustering and imputation over existing methods.

Briefings in Bioinformatics · Oct 25, 2022Peer-reviewedBioinformatics