Quanzhong Liu

According to our database, Quanzhong Liu authored at least 15 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

CTISL: a dynamic stacking multi-class classification approach for identifying cell types from single-cell RNA-seq data.

Xiao Wang, Ziyi Chai, Shaohua Li, Yan Liu, Chen Li, Yu Jiang, Quanzhong Liu

Bioinform., February, 2024

NPI-DCGNN: An Accurate Tool for Identifying ncRNA-Protein Interactions Using a Dual-Channel Graph Neural Network.

Xin Zhang, Liangwei Zhao, Ziyi Chai, Hao Wu, Wei Yang, Chen Li, Yu Jiang, Quanzhong Liu

J. Comput. Biol., 2024

DeepOCR: A multi-species deep-learning framework for accurate identification of open chromatin regions in livestock.

Liangwei Zhao, Ran Hao, Ziyi Chai, Weiwei Fu, Wei Yang, Chen Li, Quanzhong Liu, Yu Jiang

Comput. Biol. Chem., 2024

2023

Prescribed-time containment control of high-order nonlinear multi-agent systems based on distributed observer.

Guanglei Zhao, Quanzhong Liu, Changchun Hua

J. Frankl. Inst., July, 2023

2022

DeepGenGrep: a general deep learning-based predictor for multiple genomic signals and regions.

Quanzhong Liu, Honglin Fang, Xiao Wang, Miao Wang, Shuqin Li, Lachlan J. M. Coin, Fuyi Li, Jiangning Song

Bioinform., 2022

scHiCStackL: a stacking ensemble learning-based method for single-cell Hi-C classification using cell embedding.

Hao Wu, Yingfu Wu, Yuhong Jiang, Bing Zhou, Haoru Zhou, Zhongli Chen, Yi Xiong, Quanzhong Liu, Hongming Zhang

Briefings Bioinform., 2022

2021

Large-scale comparative review and assessment of computational methods for anti-cancer peptide identification.

Xiao Liang, Fuyi Li, Jinxiang Chen, Junlong Li, Hao Wu, Shuqin Li, Jiangning Song, Quanzhong Liu

Briefings Bioinform., July, 2021

BigFiRSt: A Software Program Using Big Data Technique for Mining Simple Sequence Repeats From Large-Scale Sequencing Data.

Jinxiang Chen, Fuyi Li, Miao Wang, Junlong Li, Tatiana T. Marquez-Lago, André Leier, Jerico Revote, Shuqin Li, Quanzhong Liu, Jiangning Song

Frontiers Big Data, 2021

DeepTorrent: a deep learning-based approach for predicting DNA N4-methylcytosine sites.

Quanzhong Liu, Jinxiang Chen, Yanze Wang, Shuqin Li, Cangzhi Jia, Jiangning Song, Fuyi Li

Briefings Bioinform., 2021

2020

Procleave: Predicting Protease-specific Substrate Cleavage Sites by Combining Sequence and Structural Information.

Fuyi Li, André Leier, Quanzhong Liu, Yanan Wang, Dongxu Xiang, Tatsuya Akutsu, Geoffrey I. Webb, Alexander Ian Smith, Tatiana T. Marquez-Lago, Jian Li, Jiangning Song

Genom. Proteom. Bioinform., 2020

DeepCleave: a deep learning predictor for caspase and matrix metalloprotease substrates and cleavage sites.

Fuyi Li, Jinxiang Chen, André Leier, Tatiana T. Marquez-Lago, Quanzhong Liu, Yanze Wang, Jerico Nico De Leon Revote, Alexander Ian Smith, Tatsuya Akutsu, Geoffrey I. Webb, Lukasz A. Kurgan, Jiangning Song

Bioinform., 2020

PRISMOID: a comprehensive 3D structure database for post-translational modifications and mutations with functional impact.

Fuyi Li, Cunshuo Fan, Tatiana T. Marquez-Lago, André Leier, Jerico Nico De Leon Revote, Cangzhi Jia, Yan Zhu, Alexander Ian Smith, Geoffrey I. Webb, Quanzhong Liu, Leyi Wei, Jian Li, Jiangning Song

Briefings Bioinform., 2020

2014

A novel approach of mining strong jumping emerging patterns based on BSC-tree.

Quanzhong Liu, Peng Shi, Zhengguo Hu, Yang Zhang

Int. J. Syst. Sci., 2014

2011

Feature selection for support vector machines with RBF kernel.

Quanzhong Liu, Chi-Hau Chen, Yang Zhang, Zhengguo Hu

Artif. Intell. Rev., 2011

2008

Extracting Decision Rules from Sigmoid Kernel.

Quanzhong Liu, Yang Zhang, Zhengguo Hu

Proceedings of the Advanced Data Mining and Applications, 4th International Conference, 2008