Author

Qing Sun

Texas A&M University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Organism:E. coli· 1 Research Focus:gene regulatory network inference· 1 Assay:long-read sequencing· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Aart J. VerhoefiD· 1 shared Alma Fernandez· 1 shared Aman YadaviD· 1 shared Arlin Birkby· 1 shared Assame ArnobiD· 1 shared Baizhen GaoiD· 1 shared Hung‐Jen WuiD· 1 shared Katy C. KaoiD· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperBioinformatics

Aart J. VerhoefORCID

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2 papers

Recent·Most cited

Evaluating Limits of Machine Learning-Assisted Raman Spectroscopy in Classification of Biological Samples

Aman Yadav, Arlin Birkby, Noah Armstrong, Assame Arnob, Ming-Hsun Chou, Alma Fernandez, Aart J. Verhoef, Zhenhuan Yi, Siddhant Gulati, Siddhi Kotnis, Qing Sun, Katy C. Kao, Hung‐Jen Wu

This study evaluates how experimental factors affect ML-assisted Raman spectroscopy classification accuracy, finding that data quality and spectral similarity are key limitations.

ACS Omega · Jul 30, 2026Peer-reviewedBioinformatics

Nucleic Transformer: Deep Learning on Nucleic Acids with Self-attention and Convolutions

Shujun He, Baizhen Gao, Rushant Sabnis, Qing Sun

The paper introduces the Nucleic Transformer, a deep learning model for DNA/RNA tasks that is effective, interpretable, and performs well with limited data in promoter classification, viral genome identification, and mRNA vaccine degradation analysis.

bioRxiv · Jan 28, 2021 · PreprintBioinformatics