Author

Sitan Qiao

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 Genomics· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:clustering· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

Fuqiang LiiD· 2 shared Guoyun Xie· 2 shared Kui WuiD· 2 shared Changzheng WangiD· 1 shared Chenchen Xu· 1 shared Cherry Y N Wong· 1 shared Clara C. ElbersiD· 1 shared Cong LiniD· 1 shared

Activity by Year

2019-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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2 shared papersBioinformatics

Fuqiang LiORCID

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Author profile →

3 papers

Recent·Most cited

FFPERescuer: deep unsupervised domain adaptation for the reconstruction of gene expression profiles derived from formalin-fixed paraffin-embedded samples

Lingli He, Kai Song, Ying Li, Yujuan Dong, Cherry Y N Wong, Lin Qi, Xianrui Zhang, Kristiaan Lenos, Tim R. de Back, Clara C. Elbers, Chenchen Xu, Royce Man Hin Leung, Renfu Deng, Yinghan Zhang, Sitan Qiao, , Xin Wang

FFPERescuer uses deep learning to improve gene expression reconstruction from degraded FFPE samples, achieving high accuracy and enhancing cancer subtyping.

bioRxiv · Sep 8, 2026 · PreprintBioinformatics

Whole genome sequencing of cell-free DNA yields genome-wide read distribution patterns to track tissue of origin in cancer patients

Han Liang, Fuqiang Li, Sitan Qiao, Xinlan Zhou, Guoyun Xie, Xin Zhao, Yongwei Zhang, Kui Wu

This study uses whole genome sequencing of cell-free DNA to identify tissue-of-origin patterns, achieving high specificity and sensitivity in cancer patients.

Clinical and Translational Medicine · Oct 1, 2020Peer-reviewedBioinformatics

Molecular subtyping and prognostic assessment based on tumor mutation burden in patients with lung adenocarcinomas

Changzheng Wang, Fuqiang Li, Guoyun Xie, Sitan Qiao, Xulian Shi, Jianlian Deng, Han Liang, Cong Lin, Xin Zhao, Kui Wu, Xiuqing Zhang

The paper identifies two molecular subtypes of lung adenocarcinomas based on tumor mutation burden and links them to clinical and genomic differences.

International Journal of Molecular Sciences · Aug 30, 2019Peer-reviewedGenomics