Daiyun Huang

Orcid: 0000-0002-3067-7165

According to our database1, Daiyun Huang authored at least 11 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
MTSwitch: A Web-based System for Translation between Molecules and Texts.
Proceedings of the 17th International Natural Language Generation Conference, 2024

2023
m6A-TSHub: Unveiling the Context-specific m<sup>6</sup>A Methylation and m<sup>6</sup>A-affecting Mutations in 23 Human Tissues.
Genom. Proteom. Bioinform., August, 2023

Multi-task adaptive pooling enabled synergetic learning of RNA modification across tissue, type and species from low-resolution epitranscriptomes.
Briefings Bioinform., May, 2023

RMDisease V2.0: an updated database of genetic variants that affect RNA modifications with disease and trait implication.
Nucleic Acids Res., January, 2023

2022
Deep learning-based RNA modification prediction method development.
PhD thesis, 2022

m5C-Atlas: a comprehensive database for decoding and annotating the 5-methylcytosine (m5C) epitranscriptome.
Nucleic Acids Res., 2022

2021
A Novel Application of Image-to-Image Translation: Chromosome Straightening Framework by Learning from a Single Image.
CoRR, 2021

Weakly supervised learning of RNA modifications from low-resolution epitranscriptome data.
Bioinform., 2021

A Novel Application of Image-to-Image Translation: Chromosome Straightening Framework by Learning from a Single Image.
Proceedings of the 14th International Congress on Image and Signal Processing, 2021

Prediction of m6A Reader Substrate Sites Using Deep Convolutional and Recurrent Neural Network.
Proceedings of the BIBE 2021: The Fifth International Conference on Biological Information and Biomedical Engineering, 2021

2019
Re-Identification Based Automatic Matching and Annotation of Chromosome.
Proceedings of the 12th International Congress on Image and Signal Processing, 2019


  Loading...