Author

Chang Shi

BGI Group (China)

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 Developmental Biology· 1

Signature Assays, Organisms & Methods

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Assay:spatial transcriptomics· 2 Approach:statistical model· 2 Research Focus:database / resource· 1 Approach:experimental assay· 1 Organism:human· 1 Organism:mouse· 1 Research Focus:spatial domain detection· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Qin Lu· 2 shared Tianyi XiaiD· 2 shared Ao CheniD· 1 shared Bohan ZhangiD· 1 shared Bowen Ma· 1 shared Chao LiuiD· 1 shared Chao LiuiD· 1 shared Chuan CheniD· 1 shared

Activity by Year

2018-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersBioinformatics

Qin Lu

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3 papers

Recent·Most cited

ST-GEARS: Advancing 3D Downstream Research through Accurate Spatial Information Recovery

Tianyi Xia, Luni Hu, Lulu Zuo, Lei Cao, Yunjia Zhang, Mengyang Xu, Qin Lu, Lei Zhang, Taotao Pan, Bohan Zhang, Bowen Ma, Chuan Chen, Junfu Guo, Chang Shi, Chao Liu, , Shuangsang Fang

ST-GEARS improves spatial information recovery in 3D spatial transcriptomics by aligning sections and correcting distortions, enhancing accuracy for downstream analysis.

Nature Communications · Sep 6, 2024Peer-reviewedBioinformatics

Three-dimension transcriptomics maps of whole mouse embryo during organogenesis

Mengnan Cheng, Huiwen Zheng, Qi Fang, Yinqi Bai, Chao Liu, Hailin Pan, Zhewei Zhang, Qin Lu, Chang Shi, Tianyi Xia, Zehua Jing, Huanlin Liu, Ning Feng, Guojun Fu, Yumei Li, , Xun Xu

The paper fills a gap in 3D spatial transcriptomics by providing data from E9.5 and E11.5 mouse embryos, enabling detailed analysis of organogenesis with a new open-access database.

bioRxiv · Aug 17, 2024 · PreprintDevelopmental Biology

SCDT: Detecting CNVs of low chimeric ratio in cf-DNA

Zhaoyang Qian, Xiaofeng Wang, Chang Shi, Rui Han, Yaoshen Wang, Hongmei Zhu

SCDT detects sub-chromosome CNVs in cf-DNA with high sensitivity and specificity using GC correction and segmentation algorithms.

bioRxiv · Sep 7, 2018 · PreprintBioinformatics