Yan Liu

Publication Activity (10 Years)

Years Active: 2024-2024
Publications (10 Years): 8

Top Topics

Circulating Tumor

Machine Learning

Top Venues

Briefings in bioinformatics

Bioinformatics (Oxford, England)

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

Publications

Xiao Wang, Ziyi Chai, Shaohua Li, Yan Liu, Chen Li, Yu Jiang, Quanzhong Liu
CTISL: a dynamic stacking multi-class classification approach for identifying cell types from single-cell RNA-seq data. Bioinformatics (Oxford, England) 40 (2) (2024)
Yi-Heng Zhu, Zi Liu, Yan Liu, Zhiwei Ji, Dong-Jun Yu
ULDNA: integrating unsupervised multi-source language models with LSTM-attention network for high-accuracy protein-DNA binding site prediction. Briefings in bioinformatics 25 (2) (2024)
Xiao Wang, Ziyi Chai, Shaohua Li, Yan Liu, Chen Li, Yu Jiang, Quanzhong Liu
CTISL: a dynamic stacking multi-class classification approach for identifying cell types from single-cell RNA-seq data. Bioinformatics (Oxford, England) 40 (2) (2024)
Yi-Heng Zhu, Zi Liu, Yan Liu, Zhiwei Ji, Dong-Jun Yu
ULDNA: integrating unsupervised multi-source language models with LSTM-attention network for high-accuracy protein-DNA binding site prediction. Briefings in bioinformatics 25 (2) (2024)
Shuo Li, Yan Liu, Long-Chen Shen, He Yan, Jiangning Song, Dong-Jun Yu
GMFGRN: a matrix factorization and graph neural network approach for gene regulatory network inference. Briefings in bioinformatics 25 (2) (2024)
Shuo Li, Yan Liu, Long-Chen Shen, He Yan, Jiangning Song, Dong-Jun Yu
GMFGRN: a matrix factorization and graph neural network approach for gene regulatory network inference. Briefings in bioinformatics 25 (2) (2024)
Yi-Heng Zhu, Zi Liu, Yan Liu, Zhiwei Ji, Dong-Jun Yu
ULDNA: integrating unsupervised multi-source language models with LSTM-attention network for high-accuracy protein-DNA binding site prediction. Briefings in bioinformatics 25 (2) (2024)
Yi-Heng Zhu, Zi Liu, Yan Liu, Zhiwei Ji, Dong-Jun Yu
ULDNA: integrating unsupervised multi-source language models with LSTM-attention network for high-accuracy protein-DNA binding site prediction. Briefings in bioinformatics 25 (2) (2024)