Author

Jia Liu

Frederick National Laboratory for Cancer ResearchORCID 0000-0001-5563-1465Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Jia Liu4 papers · Fujian Normal University

Biology Disciplines

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Bioinformatics· 1 Genetic & Genomic Medicine· 1 Genetics· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Assay:proteomics· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Alexander KaneiD· 1 shared Alexander TeumeriD· 1 shared Alyxandra Golden· 1 shared Amy A. Hutchinson· 1 shared Andreas E. KulozikiD· 1 shared Andrew J. Song· 1 shared Andrew R. RaduskiiD· 1 shared Aubrey K. HubbardiD· 1 shared

Activity by Year

2021-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperGenetics

Alexander KaneORCID

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3 papers

Recent·Most cited

GeneticsbioRxivPreprintMar 27, 2026

Single-cell lung eQTL dataset of Asian never-smokers highlights the roles of alveolar cells in lung cancer etiology

Thong Luong, Jinhu Yin, Bolun Li…·Jiyeon Choi

The paper constructs a single-cell eQTL dataset from Asian never-smokers, identifying alveolar cell-specific genes linked to lung cancer susceptibility.

DOI 10.64898/2026.03.26.714500

𝕏 PostBluesky

Genetic & Genomic MedicinemedRxivPreprintFeb 9, 2026

Genome-wide association study meta-analysis identifies susceptibility loci informing Ewing sarcoma etiology and potential mechanisms of risk

Aubrey K. Hubbard, Hélène Neyret‐Kahn, Martina Müller‐Nurasyid…·Mitchell J. Machiela

This study identifies 14 susceptibility loci for Ewing sarcoma through a genome-wide association meta-analysis, revealing genetic interactions with somatic EWSR1::FLI1 fusions.

1 citation

humanGWAS summary statistics

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BioinformaticsbioRxivPreprintJan 30, 2021

dSCOPE: a software to detect sequences critical for liquid-liquid phase separation

Shihua Li, Kai Yu, Qingfeng Zhang…·Han Cheng

dSCOPE predicts sequence segments critical for liquid-liquid phase separation (SCOPEs) using a random forest model trained on curated experimental data, showing enrichment in post-translational modifications and cancer mutations.

3 citations

humanproteomics

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