Author

Caixia Guo

Chinese Academy of Sciences

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· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Organism:human· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Haoyuan ShiiD· 1 shared Jierong Dong· 1 shared Xiuli ZhangiD· 1 shared Xuejie LiiD· 1 shared Ying Zhou· 1 shared Yuanzhuo WangiD· 1 shared Zhimin YangiD· 1 shared Zhiyuan HuiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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1 shared paperBioinformatics

Haoyuan ShiORCID

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1 paper

Recent·Most cited

CaSee: A lightning transfer-learning model directly used to discriminate cancer/normal cells from scRNA-seq

Haoyuan Shi, Xiuli Zhang, Zhimin Yang, Jierong Dong, Yuanzhuo Wang, Ying Zhou, Xuejie Li, Caixia Guo, Zhiyuan Hu

CaSee is a transfer-learning model that accurately discriminates cancer/normal cells from scRNA-seq data with 96.69% average accuracy across multiple datasets.

Oncogene · Oct 3, 2022Peer-reviewedBioinformatics