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Zhen Wei

Assistant Professor

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Research activity per year

Personal profile

Personal profile

Zhen Wei is a bioinformatician who joined the faculty at the Department of Biological Sciences at Xi’an Jiaotong-Liverpool University in 2020. His current research focuses on improving the metrics of predictive models in RNA genomics. He is also interested in the batch effect normalization techniques in NGS data, including their applications in various novel functional genomic technologies.

Research interests

Feature engineering in the prediction of genomic markers: contributing to the search for and building of genomic features that will facilitate the machine learning prediction of the genomic molecular markers such as DNA, RNA, and protein modifications distributed non-randomly across the genome coordinates.

Software development in R/Bioconductor for the genomic metric extraction: building software packages in R which can facilitate the automatic comprehension of genomic features that are highly interpretable and predictive for the generic genomic data analysis. 

Functional genomics: inferring interactive relationships between genes, proteins, and molecular modifications from HTP assays with Bayesian network structural learning.

Technical artifact correction in high throughput sequencing: understanding technical biases in NGS assays using a data generating model; creating a computational pipeline that could detect and correct technical artefacts in various NGS datasets.

Investigating the effects of technical biases on biological conclusions: exploring improvement of biological conclusions following the correction of major technical artefacts in published NGS studies.


Assistant Professor in Bioinformatics, XJTLU, 2020 to present

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

Education/Academic qualification

PhD in Bioinformatics, University of Liverpool - 2020

Person Types

  • Staff


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