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Daiyun Huang

Showing results (1-10 of 27) with videos related to

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Cell Genomics|December 12, 2024
AI techniques have facilitated the understanding of epitranscriptome distributionDaiyun Huang, Jia Meng, Kunqi Chen
Methods (San Diego, Calif.)|April 16, 2022
Primary sequence-assisted prediction of m<sup>6</sup>A RNA methylation sites from Oxford nanopore direct RNA sequencing dataYuxin Zhang, Daiyun Huang, Zhen Wei, et al.
Molecular Therapy. Nucleic Acids|November 16, 2022
4acCPred: Weakly supervised prediction of <i>N</i> <sup>4</sup>-acetyldeoxycytosine DNA modification from sequencesJingxian Zhou, Xuan Wang, Zhen Wei, et al.
Frontiers in Genetics|June 6, 2022
RC-Net: Regression Correction for End-To-End Chromosome Instance SegmentationHui Liu, Guangjie Wang, Sifan Song, et al.
Methods (San Diego, Calif.)|November 29, 2021
m6A-Maize: Weakly supervised prediction of m<sup>6</sup>A-carrying transcripts and m<sup>6</sup>A-affecting mutations in maize (Zea mays)Zhanmin Liang, Lei Zhang, Haoting Chen, et al.
International Journal of Molecular Sciences|November 11, 2022
RNADSN: Transfer-Learning 5-Methyluridine (m<sup>5</sup>U) Modification on mRNAs from Common Features of tRNAZhirou Li, Jinge Mao, Daiyun Huang, et al.
Cancer Reports (Hoboken, N.J.)|August 10, 2025
OncoTrace-TOO: Interpretable Machine Learning Framework for Cancer Tissue-of-Origin Identification Using Transcriptomic SignaturesYang Hao, Haochun Huang, Daiyun Huang, et al.
Briefings in Bioinformatics|March 18, 2023
Multi-task adaptive pooling enabled synergetic learning of RNA modification across tissue, type and species from low-resolution epitranscriptomesYiyou Song, Yue Wang, Xuan Wang, et al.
Journal of Chemical Information and Modeling|November 20, 2025
Benchmarking Sequence-Based Compound-Protein Interaction Prediction through Constructing a Debiased Data Set CDPNYang Hao, Bo Li, Daiyun Huang, et al.
Bioinformatics (Oxford, England)|July 12, 2021
Weakly supervised learning of RNA modifications from low-resolution epitranscriptome dataDaiyun Huang, Bowen Song, Jingjue Wei, et al.
Pageof 3

Showing results (1-10 of 27) with videos related to

Sort By:
Pageof 3
Cell Genomics|December 12, 2024
AI techniques have facilitated the understanding of epitranscriptome distributionDaiyun Huang, Jia Meng, Kunqi Chen
Methods (San Diego, Calif.)|April 16, 2022
Primary sequence-assisted prediction of m<sup>6</sup>A RNA methylation sites from Oxford nanopore direct RNA sequencing dataYuxin Zhang, Daiyun Huang, Zhen Wei, et al.
Molecular Therapy. Nucleic Acids|November 16, 2022
4acCPred: Weakly supervised prediction of <i>N</i> <sup>4</sup>-acetyldeoxycytosine DNA modification from sequencesJingxian Zhou, Xuan Wang, Zhen Wei, et al.
Frontiers in Genetics|June 6, 2022
RC-Net: Regression Correction for End-To-End Chromosome Instance SegmentationHui Liu, Guangjie Wang, Sifan Song, et al.
Methods (San Diego, Calif.)|November 29, 2021
m6A-Maize: Weakly supervised prediction of m<sup>6</sup>A-carrying transcripts and m<sup>6</sup>A-affecting mutations in maize (Zea mays)Zhanmin Liang, Lei Zhang, Haoting Chen, et al.
International Journal of Molecular Sciences|November 11, 2022
RNADSN: Transfer-Learning 5-Methyluridine (m<sup>5</sup>U) Modification on mRNAs from Common Features of tRNAZhirou Li, Jinge Mao, Daiyun Huang, et al.
Cancer Reports (Hoboken, N.J.)|August 10, 2025
OncoTrace-TOO: Interpretable Machine Learning Framework for Cancer Tissue-of-Origin Identification Using Transcriptomic SignaturesYang Hao, Haochun Huang, Daiyun Huang, et al.
Briefings in Bioinformatics|March 18, 2023
Multi-task adaptive pooling enabled synergetic learning of RNA modification across tissue, type and species from low-resolution epitranscriptomesYiyou Song, Yue Wang, Xuan Wang, et al.
Journal of Chemical Information and Modeling|November 20, 2025
Benchmarking Sequence-Based Compound-Protein Interaction Prediction through Constructing a Debiased Data Set CDPNYang Hao, Bo Li, Daiyun Huang, et al.
Bioinformatics (Oxford, England)|July 12, 2021
Weakly supervised learning of RNA modifications from low-resolution epitranscriptome dataDaiyun Huang, Bowen Song, Jingjue Wei, et al.
Pageof 3