Projects 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.
Experience
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):
Education/Academic qualification
PhD in Bioinformatics, University of Liverpool - 2020
Person Types
- Staff
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Collaborations and top research areas from the last five years
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Development of bioinformatics methods for MeRIP-Seq analysis
1/01/23 → 31/12/25
Project: Internal Research Project
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Suzhou Municipal Key Lab for Intelligent Virtual Engineering
Yue, Y., Liang, H. N., Lim, E. G., Man, K. L., Ma, F., Wang, X., Guan, S., Wang, Q., Xiao, J., Ma, J., Meng, J., Zhang, C., Chen, M., Chen, B., Wang, W., Craig, P., Sun, J., Liu, G., Xia, J., Zhu, X., Yu, L., Zhang, J., Qi, J., Huang, M., Yang, R., Li, S., Dong, Y., Yang, X., Li, Y., Wang, J., Zhang, H., Wei, Z., Sun, Q., Elsheikh, A., Levers, A., Konev, B., Coenen, F., Atkinson, K., Gasieniec, L., Wong, P., Payne, T., Garcia-Fernandez, A. & Zhang, Y.
1/11/22 → 30/10/25
Project: Governmental Research Project
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Suzhou Municipal Key Lab for Metabolic Syndrome Drug Research
Meng, J., Meng, W., Jiang, X., Wei, Z., Li, T., Liu, X., Su, J., Yue, C., Douroudis, K., Kappes, F., Park, J., Wang, M., Rong, R., Raju, S., Huang, X., Kadowaki, T., OConnor, D., Lu, Z., Feng, Q., Yi, Y., Chen, Y., Jiang, B., Yuan, X., Cui, J., Meng, S., Smith, G., Loh, B. & 李荪
1/01/22 → 31/12/23
Project: Governmental Research Project
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Evaluating the Reliability of Machine Learning Predictors in m6A-SNP Association Analysis: A Comparative Study Using m6A-QTL Data
Mao, Z. & Wei, Z., 2024, (Accepted/In press) In: Current Bioinformatics.Research output: Contribution to journal › Article › peer-review
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m 6 A-Atlas v2.0: updated resources for unraveling the N 6 -methyladenosine (m 6 A) epitr anscript ome among multiple species
Liang, Z., Ye, H., Ma, J., Wei, Z., Wang, Y., Zhang, Y., Huang, D., Song, B., Meng, J., Rigden, D. J. & Chen, K., 5 Jan 2024, In: Nucleic Acids Research. 52, D1, p. D194-D202Research output: Contribution to journal › Article › peer-review
Open Access17 Citations (Scopus) -
M6ACali: Machine learning-powered calibration for accurate m6A detection in MeRIP-Seq
Ye, H., Li, T., Rigden, D. J. & Wei, Z., 22 May 2024, In: Nucleic Acids Research. 52, 9, p. 4830-4842 13 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
m6AConquer: a Data Resource for Unified Quantification and Integration of m6A Detection Techniques
Zhao, X., Ye, H., Li, T., Rigden, D. J. & Wei, Z., Sept 2024, In: bioRxiv.Research output: Contribution to journal › Article
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NanoMUD: Profiling of pseudouridine and N1-methylpseudouridine using Oxford Nanopore direct RNA sequencing
Zhang, Y., Yan, H., Wei, Z., Hong, H., Huang, D., Liu, G., Qin, Q., Rong, R., Gao, P., Meng, J. & Ying, B., Jun 2024, In: International Journal of Biological Macromolecules. 270, 132433.Research output: Contribution to journal › Article › peer-review