Author

Xiaodun Li

University of CambridgeORCID 0000-0002-5859-9429Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genomics· 2 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Assay:whole-genome sequencing· 2 Research Focus:cell type annotation· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Research Focus:phylogenetics / evolution· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Ahmad Miremadi· 3 shared Andrew HindmarshiD· 2 shared Ayesha Noorani· 2 shared Christopher John PetersiD· 2 shared Ginny DevonshireiD· 2 shared Jamie M. J. WeaveriD· 2 shared Jason CrawteiD· 2 shared Lawrence BoweriD· 2 shared

Activity by Year

2018-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersGenomics

Ahmad Miremadi

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3 papers

Recent·Most cited

Cancer BiologybioRxivPreprintOct 31, 2026

Polyclonal and clonal organoid models of Barrett oesophagus and oesophageal adenocarcinoma reveal heterogeneity in progression and therapy response

Daniel H. Jacobson, Dylan Peter McClurg, Yibing Wang…·Lizhe Zhuang

The paper generates organoid models of Barrett oesophagus and oesophageal adenocarcinoma to study disease progression and therapy response.

DOI 10.64898/2026.01.09.698383

humanspatial transcriptomics

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GenomicsNature GeneticsPeer-reviewedJan 1, 2020

Genomic evidence supports a clonal diaspora model for metastases of esophageal adenocarcinoma

Ayesha Noorani, Xiaodun Li, Martin J Goddard…·Rebecca Claire Fitzgerald

The paper uses whole genome sequencing and phylogenetic analysis to show that metastases in esophageal adenocarcinoma spread rapidly through a clonal diaspora model.

77 citationstop 3%

humanwhole-genome sequencing

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GenomicsbioRxivPreprintAug 19, 2018

Low-cost and clinically applicable copy number profiling using repeat DNA

Sam Abujudeh, Sebastian S. Zeki, MCV van Lanschot…·Richard Calvin Turkington

The paper introduces conliga, a method for inferring high-resolution SCNA profiles from a low-cost and simple assay, addressing the need for affordable SCNA analysis in clinical settings.

2 citations

whole-genome sequencingstatistical model

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