About Me
I'm Yue. I recently graduated from University of Liverpool with a doctoral degree in computer science. In my doctoral study, I worked with my supervisor Dr. Jia Meng, making statistical and deep learning approaches for characterizing RNA methylation with respect to functional components and gene structures.
I have knowledge in bioinformatics, biostatistics, probability, machine learning and deep learning.
I have a broad interest in lots of bioinformatics questions and seek to conduct sound and interesting science.
Please check out this website for more information on my skills and research projects.
Education
University of Liverpool, Doctoral degree, 09/2019---07/2023
Faculty of Science & Engineering, Department of Computer Sciences
Full Scholarship
Xi'an Jiaotong-liverpool University, University of Liverpool, Bachelor of Science, 09/2015---07/2019
Department of Mathematical Sciences, Applied Mathematics
First Class degree; Best Performance in Final Year Project (1/54)
Representative Work [Full List]
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RgnTX: colocalization analysis of transcriptome elements in the presence of isoform heterogeneity and ambiguity (Under Review).
Yue Wang, Zhen Wei, Jionglong Su, Frans Coenen and Jia Meng(*)
The paper is under review. The package has been accepted by Bioconductor.
[10.18129/B9.bioc.RgnTX]
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Multi-task adaptive pooling enabled synergetic learning of RNA modification across tissue, type and species from low-resolution epitranscriptomes.
Yiyou Song, Yue Wang (*), Xuan Wang, Daiyun Huang, Anh Nguyen, Jia Meng
Briefings in Bioinformatics, bbad105, 2023.
[pdf] [10.1093/bib/bbad105]
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Self-attention enabled deep learning of dihydrouridine (D) modification on mRNAs unveiled a distinct sequence signature from tRNAs.
Yue Wang, Xuan Wang, Xiaodong Cui, Jia Meng, Rong Rong(*)
Molecular Therapy - Nucleic Acids, 31:411-420, 2023.
[10.1016/j.omtn.2023.01.014]
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MetaTX: deciphering the distribution of mRNA-related features in the presence of isoform ambiguity, with applications in epitranscriptome analysis.
Yue Wang, Kunqi Chen, Zhen Wei, Frans Coenen, Jionglong Su, Jia Meng(*)
Bioinformatics, 37(9):1285–1291, 2021.
[pdf] [10.1093/bioinformatics/btaa938]
Last update: 2023-05-23