LabCompass

Publications

41

Citations

1,114

Est. group size

Recurring co-author estimate

Active years

11

Publishing since 2016

Research summary
AI-generated

Yue Wang develops computational and machine-learning methods to study RNA modifications (the 'epitranscriptome'), which are chemical marks on RNA molecules that help regulate how genes are expressed. The work combines statistical modeling and deep learning to detect and quantify these modifications from sequencing data, and also extends to related bioinformatics problems such as genetic diagnosis of mitochondrial disorders. Recent publications additionally touch on broader machine-learning applications, including image recognition and language models.

RNA modifications and the epitranscriptomeMachine learning and deep learning for bioinformaticsStatistical modeling of sequencing dataGenetic and molecular diagnosticsSpectroscopy and drug discovery methods

Publication activity has grown over the past decade, rising from about one paper per year in 2017-2019 to roughly five to nine per year in recent years.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence
Publications per year over the last 10 years — averaging 5.4/year recently
2017: 1 publication172018: 1 publication182019: 1 publication192020: 6 publications202021: 3 publications212022: 5 publications222023: 6 publications232024: 6 publications242025: 9 publications9252026: 1 publication26
Recent publications
Publishes in
  • Nucleic Acids Research×3
  • Computational and Structural Biotechnology Journal×3
  • Briefings in Bioinformatics×2
  • Genetics in Medicine×2
  • European Neuropsychopharmacology×2

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 11, 2026.

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