Some results on the Apostol-Bernoulli and Apostol-Euler polynomials. - Weiping Wang 004; Cangzhi Jia; Tian-ming Wang (Comput. Math. Appl., 2008)

Abel's method on summation by parts and theta hypergeometric series. - Wenchang Chu; Cangzhi Jia (J. Comb. Theory A, 2008)

O-GlcNAcPRED-II: an integrated classification algorithm for identifying O-GlcNAcylation sites based on fuzzy undersampling and a K-means PCA oversampling technique. - Cangzhi Jia; Yun Zuo 001; Quan Zou 001 (Bioinform., 2018)

70ProPred: a predictor for discovering sigma70 promoters based on combining multiple features. - Wenying He; Cangzhi Jia; Yucong Duan; Quan Zou 001 (BMC Syst. Biol., 2018)

4mCPred: machine learning methods for DNA N4-methylcytosine sites prediction. - Wenying He; Cangzhi Jia; Quan Zou 001 (Bioinform., 2019)

MULTiPly: a novel multi-layer predictor for discovering general and specific types of promoters. - Meng Zhang 046; Fuyi Li; Tatiana T. Marquez-Lago; André Leier; Cunshuo Fan; Chee Keong Kwoh 001; Kuo-Chen Chou; Jiangning Song; Cangzhi Jia (Bioinform., 2019)

EnsemPseU: Identifying Pseudouridine Sites With an Ensemble Approach. - Yue Bi; Dong Jin; Cangzhi Jia (IEEE Access, 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 006; Alexander Ian Smith; Geoffrey I. Webb; Quanzhong Liu; Leyi Wei; Jian Li 052; et al. (Briefings Bioinform., 2020)

PASSION: an ensemble neural network approach for identifying the binding sites of RBPs on circRNAs. - Cangzhi Jia; Yue Bi; Jinxiang Chen; André Leier; Fuyi Li; Jiangning Song (Bioinform., 2020)

Pippin: A random forest-based method for identifying presynaptic and postsynaptic neurotoxins. - Pengyu Li; He Zhang; Xuyang Zhao; Cangzhi Jia; Fuyi Li; Jiangning Song (J. Bioinform. Comput. Biol., 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)

DeepCPP: a deep neural network based on nucleotide bias information and minimum distribution similarity feature selection for RNA coding potential prediction. - Yu Zhang 084; Cangzhi Jia; Melissa Jane Fullwood; Chee Keong Kwoh 001 (Briefings Bioinform., 2021)

Predicting the interaction biomolecule types for lncRNA: an ensemble deep learning approach. - Yu Zhang 084; Cangzhi Jia; Chee Keong Kwoh 001 (Briefings Bioinform., 2021)

Formator: Predicting Lysine Formylation Sites Based on the Most Distant Undersampling and Safe-Level Synthetic Minority Oversampling. - Cangzhi Jia; Meng Zhang 046; Cunshuo Fan; Fuyi Li; Jiangning Song (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Computational identification of eukaryotic promoters based on cascaded deep capsule neural networks. - Yan Zhu 006; Fuyi Li; Dongxu Xiang; Tatsuya Akutsu; Jiangning Song; Cangzhi Jia (Briefings Bioinform., 2021)

Clarion is a multi-label problem transformation method for identifying mRNA subcellular localizations. - Yue Bi; Fuyi Li; Xudong Guo; Zhikang Wang; Tong Pan; Yuming Guo 001; Geoffrey I. Webb; Jianhua Yao 001; Cangzhi Jia; Jiangning Song (Briefings Bioinform., 2022)

Positive-unlabeled learning in bioinformatics and computational biology: a brief review. - Fuyi Li; Shuangyu Dong; André Leier; Meiya Han; Xudong Guo; Jing Xu 008; Xiaoyu Wang 016; Shirui Pan; Cangzhi Jia; Yang Zhang 010; Geoffrey I. Webb; Lachlan J. M. Coin; et al. (Briefings Bioinform., 2022)

Critical assessment of computational tools for prokaryotic and eukaryotic promoter prediction. - Meng Zhang 046; Cangzhi Jia; Fuyi Li; Chen Li 021; Yan Zhu 006; Tatsuya Akutsu; Geoffrey I. Webb; Quan Zou 001; Lachlan J. M. Coin; Jiangning Song (Briefings Bioinform., 2022)

O-glycosylation site prediction for Homo sapiens by combining properties and sequence features with support vector machine. - Yan Zhu 006; Shuwan Yin; Jia Zheng 004; Yixia Shi; Cangzhi Jia (J. Bioinform. Comput. Biol., 2022)

TIMER is a Siamese neural network-based framework for identifying both general and species-specific bacterial promoters. - Yan Zhu 006; Fuyi Li; Xudong Guo; Xiaoyu Wang 016; Lachlan J. M. Coin; Geoffrey I. Webb; Jiangning Song; Cangzhi Jia (Briefings Bioinform., 2023)

PredLLPS_PSSM: a novel predictor for liquid-liquid protein separation identification based on evolutionary information and a deep neural network. - Shengming Zhou; Yetong Zhou; Tian Liu; Jia Zheng; Cangzhi Jia (Briefings Bioinform., 2023)

scDFN: enhancing single-cell RNA-seq clustering with deep fusion networks. - Tianxiang Liu; Cangzhi Jia; Yue Bi; Xudong Guo; Quan Zou 001; Fuyi Li (Briefings Bioinform., 2024)

A two-task predictor for discovering phase separation proteins and their undergoing mechanism. - Yetong Zhou; Shengming Zhou; Yue Bi; Quan Zou 001; Cangzhi Jia (Briefings Bioinform., 2024)

AMPpred-MFA: An Interpretable Antimicrobial Peptide Predictor with a Stacking Architecture, Multiple Features, and Multihead Attention. - Changjiang Li; Quan Zou 001; Cangzhi Jia; Jia Zheng (J. Chem. Inf. Model., 2024)

MAMLCDA: A Meta-Learning Model for Predicting circRNA-Disease Association Based on MAML Combined With CNN. - Yuanyi Tian; Quan Zou 001; Chunyu Wang 002; Cangzhi Jia (IEEE J. Biomed. Health Informatics, 2024)