Author

Zhi-Can Fu

Fudan UniversityORCID 0000-0001-9973-4773Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:variant calling· 2 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Assay:long-read sequencing· 1 Organism:mouse· 1

Frequent Co-Authors

Bao‐Qing Gao· 1 shared Chuanxin ZhangiD· 1 shared Haiyang Wu· 1 shared Keliang WuiD· 1 shared Li Chun YangiD· 1 shared Nan FangiD· 1 shared Peng Lu· 1 shared Runtong Hou· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBioinformatics

Bao‐Qing Gao

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJun 11, 2026

ANCHOR: haplotype-aware allelic and isoform inference from single-cell long-read RNA sequencing with de novo variant calling

Zhi-Can Fu, Chuanxin Zhang, Yelian Yan…·Shenli Yuan

ANCHOR improves variant calling and allele-specific expression analysis in single-cell long-read RNA-seq by integrating haplotype-aware methods and beta-binomial modeling.

1 citation

humanmouse

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BioinformaticsbioRxivPreprintOct 17, 2023

A deep learning model embedded framework to distinguish DNA and RNA mutations directly from RNA-seq

Zhi-Can Fu, Bao‐Qing Gao, Nan Fang…·Li Chun Yang

DEMINING detects DNA and RNA mutations in RNA-seq data using DeepDDR, revealing new mutations in leukemia and non-primate species via transfer learning.

2 citations

humannon-human primate

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