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

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

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

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

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

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

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

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

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

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

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

DeepTorrent: a deep learning-based approach for predicting DNA N4-methylcytosine sites. - Liu, Quanzhong; Chen, Jinxiang; Wang, Yanze; Li, Shuqin; Jia, Cangzhi; Song, Jiangning; Li, Fuyi (Briefings Bioinform., 2021)

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

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

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

EnsemPseU: Identifying Pseudouridine Sites With an Ensemble Approach. - Bi, Yue; Jin, Dong; Jia, Cangzhi (IEEE Access, 2020)

PRISMOID: a comprehensive 3D structure database for post-translational modifications and mutations with functional impact. - Li, Fuyi; Fan, Cunshuo; Marquez-Lago, Tatiana T.; Leier, André; Revote, Jerico Nico De Leon; Jia, Cangzhi; Zhu, Yan; Smith, Alexander Ian; Webb, Geoffrey I.; Liu, Quanzhong; Wei, Leyi; Li, Jian; et al. (Briefings Bioinform., 2020)

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

Pippin: A random forest-based method for identifying presynaptic and postsynaptic neurotoxins. - Li, Pengyu; Zhang, He; Zhao, Xuyang; Jia, Cangzhi; Li, Fuyi; Song, Jiangning (J. Bioinform. Comput. Biol., 2020)

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

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

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

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

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

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