Author

Xulian 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 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:clustering· 2 Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:deconvolution· 1 Research Focus:differential expression· 1 Assay:spatial transcriptomics· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Kui WuiD· 3 shared Alejandro A. SchäfferiD· 2 shared Edward Michael GertziD· 2 shared Guibo LiiD· 2 shared Haoyun LeiiD· 2 shared Liqin XuiD· 2 shared Michael C. DeaniD· 2 shared Russell S. SchwartziD· 2 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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Curved chords = mutual co-authorship

3 shared papersBioinformatics

Kui WuORCID

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Author profile →

3 papers

Recent·Most cited

Tumor heterogeneity assessed by sequencing and fluorescence in situ hybridization (FISH) data

Haoyun Lei, Edward Michael Gertz, Alejandro A. Schäffer, Xuecong Fu, Yifeng Tao, Kerstin Heselmeyer‐Haddad, Irianna Marie Torres, Guibo Li, Liqin Xu, Yong Hou, Kui Wu, Xulian Shi, Michael C. Dean, Thomas Ried, Russell S. Schwartz

The paper develops computational methods combining sequencing and miFISH data to improve accurate inference of clonal copy number evolution in tumors.

Bioinformatics · Jul 5, 2021Peer-reviewedBioinformatics

Tumor Copy Number Deconvolution Integrating Bulk and Single-Cell Sequencing Data

Haoyun Lei, Bochuan Lyu, Edward Michael Gertz, Alejandro A. Schäffer, Xulian Shi, Kui Wu, Guibo Li, Liqin Xu, Yong Hou, Michael C. Dean, Russell S. Schwartz

The paper develops methods to deconvolve tumor copy number data by integrating bulk and single-cell sequencing data, improving accuracy over bulk data alone.

Journal of Computational Biology · Mar 17, 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