Author

Zhao-Yang Chen

Umeå Plant Science Centre

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:graph neural network· 3 Organism:human· 3 Approach:statistical model· 2 Research Focus:variant calling· 2 Assay:whole-genome sequencing· 2 Organism:Arabidopsis· 1 Approach:Bayesian inference· 1 Research Focus:benchmarking· 1

Frequent Co-Authors

Ehsan EstajiiD· 3 shared Jian‐Feng MaoiD· 3 shared Shiwei ZhaoiD· 3 shared Shuai Nie· 3 shared

Activity by Year

2026-2026 · peak 3/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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3 shared papersBioinformatics

Ehsan EstajiORCID

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3 papers

Recent·Most cited

Relational biological structure improves fine-mapping of causal GWAS variants under weak signal

Ehsan Estaji, Shiwei Zhao, Zhao-Yang Chen, Shuai Nie, Jian‐Feng Mao

This paper introduces GAFM and HBP methods to improve GWAS fine-mapping by leveraging biological structure, achieving higher accuracy and speed across multiple species and datasets.

bioRxiv · Jun 15, 2026 · PreprintGenomics

GraphPop: graph-native computation decouples population genomics complexity from sample count

Ehsan Estaji, Shiwei Zhao, Zhao-Yang Chen, Shuai Nie, Jian‐Feng Mao

GraphPop reduces population genomics complexity by using graph databases, enabling faster analysis of large datasets and revealing population structure in rice and humans.

bioRxiv · Apr 17, 2026 · PreprintBioinformatics

GraphMana: graph-native data management for population genomics projects

Ehsan Estaji, Shiwei Zhao, Zhao-Yang Chen, Shuai Nie, Jian‐Feng Mao

GraphMana manages population genomics data using a graph database, enabling efficient incremental updates and export to multiple formats.

bioRxiv · Apr 17, 2026 · PreprintBioinformatics