Min Zeng

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 9

Top Topics

Convolutional Neural Network

Artificial Intelligence

Circulating Tumor

Top Venues

Bioinformatics (Oxford, England)

Briefings in bioinformatics

This page only lists publications with an associated author ORCID identifier.

Publications

Hanyu Luo, Li Tang, Min Zeng, Rui Yin, Pingjian Ding, Lingyun Luo, Min Li
BertSNR: an interpretable deep learning framework for single-nucleotide resolution identification of transcription factor binding sites based on DNA language model. Bioinformatics (Oxford, England) 40 (8) (2024)
Hanyu Luo, Li Tang, Min Zeng, Rui Yin, Pingjian Ding, Lingyun Luo, Min Li
BertSNR: an interpretable deep learning framework for single-nucleotide resolution identification of transcription factor binding sites based on DNA language model. Bioinformatics (Oxford, England) 40 (8) (2024)
Hanyu Luo, Li Tang, Min Zeng, Rui Yin, Pingjian Ding, Lingyun Luo, Min Li
BertSNR: an interpretable deep learning framework for single-nucleotide resolution identification of transcription factor binding sites based on DNA language model. Bioinformatics (Oxford, England) 40 (8) (2024)
Yongfan Ming, Wenkang Wang, Rui Yin, Min Zeng, Li Tang, Shizhe Tang, Min Li
A review of enzyme design in catalytic stability by artificial intelligence. Briefings in bioinformatics (2023)
Min Zeng, Yifan Wu, Yiming Li, Rui Yin, Chengqian Lu, Junwen Duan, Min Li
LncLocFormer: a Transformer-based deep learning model for multi-label lncRNA subcellular localization prediction by using localization-specific attention mechanism. Bioinformatics (Oxford, England) 39 (12) (2023)
Min Li, Baoying Zhao, Rui Yin, Chengqian Lu, Fei Guo, Min Zeng
GraphLncLoc: long non-coding RNA subcellular localization prediction using graph convolutional networks based on sequence to graph transformation. Briefings in bioinformatics 24 (1) (2023)
Min Li, Baoying Zhao, Rui Yin, Chengqian Lu, Fei Guo, Min Zeng
GraphLncLoc: long non-coding RNA subcellular localization prediction using graph convolutional networks based on sequence to graph transformation. Briefings in bioinformatics 24 (1) (2023)
Min Zeng, Yifan Wu, Yiming Li, Rui Yin, Chengqian Lu, Junwen Duan, Min Li
LncLocFormer: a Transformer-based deep learning model for multi-label lncRNA subcellular localization prediction by using localization-specific attention mechanism. Bioinformatics (Oxford, England) 39 (12) (2023)
Min Li, Baoying Zhao, Rui Yin, Chengqian Lu, Fei Guo, Min Zeng
GraphLncLoc: long non-coding RNA subcellular localization prediction using graph convolutional networks based on sequence to graph transformation. Briefings in bioinformatics (2022)