Extracting Decision Rules from Sigmoid Kernel. - Quanzhong Liu; Yang Zhang 010; Zhengguo Hu (ADMA, 2008)

Feature selection for support vector machines with RBF kernel. - Quanzhong Liu; Chi-Hau Chen; Yang Zhang 010; Zhengguo Hu (Artif. Intell. Rev., 2011)

A novel approach of mining strong jumping emerging patterns based on BSC-tree. - Quanzhong Liu; Peng Shi 001; Zhengguo Hu; Yang Zhang 010 (Int. J. Syst. Sci., 2014)

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 006; Alexander Ian Smith; Geoffrey I. Webb; Quanzhong Liu; Leyi Wei; Jian Li 052; et al. (Briefings 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)

Procleave: Predicting Protease-specific Substrate Cleavage Sites by Combining Sequence and Structural Information. - Fuyi Li; André Leier; Quanzhong Liu; Yanan Wang 003; Dongxu Xiang; Tatsuya Akutsu; Geoffrey I. Webb; Alexander Ian Smith; Tatiana T. Marquez-Lago; Jian Li 052; Jiangning Song (Genom. Proteom. Bioinform., 2020)

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)

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)

Large-scale comparative review and assessment of computational methods for anti-cancer peptide identification. - Xiao Liang; Fuyi Li; Jinxiang Chen; Junlong Li; Hao Wu 062; Shuqin Li; Jiangning Song; Quanzhong Liu (Briefings Bioinform., 2021)

scHiCStackL: a stacking ensemble learning-based method for single-cell Hi-C classification using cell embedding. - Hao Wu 062; Yingfu Wu; Yuhong Jiang; Bing Zhou; Haoru Zhou; Zhongli Chen; Yi Xiong 002; Quanzhong Liu; Hongming Zhang 002 (Briefings Bioinform., 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)

Prescribed-time containment control of high-order nonlinear multi-agent systems based on distributed observer. - Guanglei Zhao; Quanzhong Liu; Changchun Hua (J. Frankl. Inst., 2023)

SCANER: robust and sensitive identification of malignant cells from the scRNA-seq profiled tumor ecosystem. - Peng Xia; Wei Wu; Quanzhong Liu; Bin Huang; Min Wu; Zihan Lin; Mengyan Zhu; Miao Yu; Ying Qu; Kening Li; Lingxiang Wu; Ruohan Zhang; et al. (Briefings Bioinform., 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 021; Quanzhong Liu; Yu Jiang (Comput. Biol. Chem., 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)

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 038; Chen Li 021; Yu Jiang; Quanzhong Liu (Bioinform., 2024)