Author

Songren Wei

Harbin Institute of TechnologyORCID 0000-0002-2722-451XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Assay:scRNA-seq· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

Chang XuiD· 2 shared Guangfu XueiD· 2 shared Meng LuoiD· 2 shared Pingping WangiD· 2 shared Qinghua JiangiD· 2 shared Rui ChengiD· 2 shared Xiyun JiniD· 2 shared Yideng CaiiD· 2 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersNeuroscience

Chang XuORCID

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2 papers

Recent·Most cited

Charting the Spatial Transcriptome of the Human Cerebral Cortex at Single-Cell Resolution

Songren Wei, Meng Luo, Pingping Wang, Rui Chen, Xiyun Jin, Chang Xu, Chenyang Li, Xiaoyu Lin, Zhaochun Xu, Hongxin Liu, Rui Cheng, Wenyi Yang, Yideng Cai, Guangfu Xue, Peng Huang, , Qinghua Jiang

The paper creates a comprehensive human cortical atlas using single-cell and spatial transcriptomics data to reveal cellular organization and functional correlations in the cerebral cortex.

Nature Communications · Aug 19, 2025Peer-reviewedNeuroscience

DeepCCI: a deep learning framework for identifying cell-cell interactions from single-cell RNA sequencing data

Wenyi Yang, Zhaochun Xu, Meng Luo, Yideng Cai, Chang Xu, Pingping Wang, Songren Wei, Guangfu Xue, Xiyun Jin, Rui Cheng, Jinhao Que, Wenyang Zhou, Fenglan Pang, Huan Nie, Qinghua Jiang

DeepCCI uses deep learning to identify cell-cell interactions from scRNA-seq data, showing accurate and effective results across diverse datasets.

bioRxiv · Nov 11, 2022 · PreprintBioinformatics