Yue Wang
Biochemistry, Genetics and Molecular Biology · Indiana University
Publications
41
Citations
1,114
Est. group size
—
Recurring co-author estimate
Active years
11
Publishing since 2016
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.
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
- Adaptive LSTM Method Integrating Drift Detection for Predicting the State of Battery Charge
2026
- Multimodal zero-shot learning of previously unseen epitranscriptomes from RNA-seq data
Briefings in Bioinformatics · 2025
- MSCI: Addressing CLIP's Inherent Limitations for Compositional Zero-Shot Learning
2025
- Experiences from dual genome next-generation sequencing panel testing for mitochondrial disorders: a comprehensive molecular diagnosis
Frontiers in Genetics · 2025
- Statistical modeling of immunoprecipitation efficiency of MeRIP-seq data enabled accurate detection and quantification of epitranscriptome
Computational and Structural Biotechnology Journal · 2025
- Detecting mitochondrial electron transport chain enzyme defects in low-heteroplasmy single large-scale mtDNA deletion syndromes (SLSMDSs)
Molecular Genetics and Metabolism · 2025
- Machine Learning-Guided Generation of Novel Pseudo-Natural Products: Applications to Accelerate Drug Discovery
Journal of Chemical Information and Modeling · 2025
- RedOne: Revealing Domain-specific LLM Post-Training in Social Networking Services
arXiv (Cornell University) · 2025
- MSCI: Addressing CLIP's Inherent Limitations for Compositional Zero-Shot Learning
arXiv (Cornell University) · 2025
- Rapid Identification of Medicinal <i>Polygonatum</i> Species and Predictive of Polysaccharides Using ATR‐FTIR Spectroscopy Combined With Multivariate Analysis
Phytochemical Analysis · 2024
- Statistical modeling of single-cell epitranscriptomics enabled trajectory and regulatory inference of RNA methylation
Cell Genomics · 2024
- Domain-knowledge enabled ensemble learning of 5-formylcytosine (f5C) modification sites
Computational and Structural Biotechnology Journal · 2024
- Feasibility study on discrimination of <i>Polygonatum kingianum</i> origins by NIR and MIR spectra data
Journal of Food Science · 2024
- Feasibility Study On Origin Identification of Polygonatum Kingianum By Nir and Mir Spectroscopy
SSRN Electronic Journal · 2024
- m6A-Atlas v2.0: updated resources for unraveling the <i>N</i>6-methyladenosine (m6A) epitranscriptome among multiple species
Nucleic Acids Research · 2023
- 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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