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2020 – today
- 2024
[j23]Changjiang Li, Quan Zou
, Cangzhi Jia, Jia Zheng:
AMPpred-MFA: An Interpretable Antimicrobial Peptide Predictor with a Stacking Architecture, Multiple Features, and Multihead Attention. J. Chem. Inf. Model. 64(7): 2393-2404 (2024)- [j22]Yuanyi Tian, Quan Zou, Chun-yu Wang, Cangzhi Jia:
MAMLCDA: A Meta-Learning Model for Predicting circRNA-Disease Association Based on MAML Combined With CNN. IEEE J. Biomed. Health Informatics 28(7): 4325-4335 (2024) - 2023
- [j21]Yan Zhu, Fuyi Li, Xudong Guo, Xiaoyu Wang, Lachlan J. M. Coin, Geoffrey I. Webb, Jiangning Song, Cangzhi Jia:
TIMER is a Siamese neural network-based framework for identifying both general and species-specific bacterial promoters. Briefings Bioinform. 24(4) (2023) - [j20]Shengming Zhou, Yetong Zhou, Tian Liu, Jia Zheng, Cangzhi Jia:
PredLLPS_PSSM: a novel predictor for liquid-liquid protein separation identification based on evolutionary information and a deep neural network. Briefings Bioinform. 24(5) (2023) - 2022
- [j19]Fuyi Li, Shuangyu Dong, André Leier, Meiya Han, Xudong Guo, Jing Xu, Xiaoyu Wang, Shirui Pan, Cangzhi Jia, Yang Zhang, Geoffrey I. Webb, Lachlan J. M. Coin, Chen Li, Jiangning Song:
Positive-unlabeled learning in bioinformatics and computational biology: a brief review. Briefings Bioinform. 23(1) (2022) - [j18]Meng Zhang, Cangzhi Jia, Fuyi Li, Chen Li, Yan Zhu, Tatsuya Akutsu, Geoffrey I. Webb, Quan Zou, Lachlan J. M. Coin, Jiangning Song:
Critical assessment of computational tools for prokaryotic and eukaryotic promoter prediction. Briefings Bioinform. 23(2) (2022) - [j17]Yue Bi, Fuyi Li, Xudong Guo, Zhikang Wang, Tong Pan, Yuming Guo, Geoffrey I. Webb, Jianhua Yao, Cangzhi Jia, Jiangning Song:
Clarion is a multi-label problem transformation method for identifying mRNA subcellular localizations. Briefings Bioinform. 23(6) (2022) - [j16]Yan Zhu, Shuwan Yin, Jia Zheng, Yixia Shi, Cangzhi Jia:
O-glycosylation site prediction for Homo sapiens by combining properties and sequence features with support vector machine. J. Bioinform. Comput. Biol. 20(1): 2150029:1-2150029:15 (2022) - 2021
- [j15]Yu Zhang, Cangzhi Jia, Melissa Jane Fullwood, Chee Keong Kwoh:
DeepCPP: a deep neural network based on nucleotide bias information and minimum distribution similarity feature selection for RNA coding potential prediction. Briefings Bioinform. 22(2): 2073-2084 (2021) - [j14]Quanzhong Liu, Jinxiang Chen, Yanze Wang, Shuqin Li, Cangzhi Jia, Jiangning Song, Fuyi Li:
DeepTorrent: a deep learning-based approach for predicting DNA N4-methylcytosine sites. Briefings Bioinform. 22(3) (2021) - [j13]Yu Zhang, Cangzhi Jia, Chee Keong Kwoh:
Predicting the interaction biomolecule types for lncRNA: an ensemble deep learning approach. Briefings Bioinform. 22(4) (2021) - [j12]Yan Zhu, Fuyi Li, Dongxu Xiang, Tatsuya Akutsu, Jiangning Song, Cangzhi Jia:
Computational identification of eukaryotic promoters based on cascaded deep capsule neural networks. Briefings Bioinform. 22(4) (2021) - [j11]Cangzhi Jia, Meng Zhang, Cunshuo Fan, Fuyi Li, Jiangning Song:
Formator: Predicting Lysine Formylation Sites Based on the Most Distant Undersampling and Safe-Level Synthetic Minority Oversampling. IEEE ACM Trans. Comput. Biol. Bioinform. 18(5): 1937-1945 (2021) - 2020
- [j10]Yue Bi, Dong Jin, Cangzhi Jia:
EnsemPseU: Identifying Pseudouridine Sites With an Ensemble Approach. IEEE Access 8: 79376-79382 (2020) - [j9]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:
PRISMOID: a comprehensive 3D structure database for post-translational modifications and mutations with functional impact. Briefings Bioinform. 21(3): 1069-1079 (2020) - [j8]Cangzhi Jia, Yue Bi, Jinxiang Chen, André Leier, Fuyi Li, Jiangning Song:
PASSION: an ensemble neural network approach for identifying the binding sites of RBPs on circRNAs. Bioinform. 36(15): 4276-4282 (2020) - [j7]Pengyu Li, He Zhang, Xuyang Zhao, Cangzhi Jia, Fuyi Li, Jiangning Song:
Pippin: A random forest-based method for identifying presynaptic and postsynaptic neurotoxins. J. Bioinform. Comput. Biol. 18(2): 2050008:1-2050008:21 (2020)
2010 – 2019
- 2019
- [j6]Wenying He, Cangzhi Jia, Quan Zou:
4mCPred: machine learning methods for DNA N4-methylcytosine sites prediction. Bioinform. 35(4): 593-601 (2019) - [j5]Meng Zhang, Fuyi Li, Tatiana T. Marquez-Lago, André Leier, Cunshuo Fan, Chee Keong Kwoh, Kuo-Chen Chou, Jiangning Song, Cangzhi Jia:
MULTiPly: a novel multi-layer predictor for discovering general and specific types of promoters. Bioinform. 35(17): 2957-2965 (2019) - 2018
- [j4]Cangzhi Jia, Yun Zuo, Quan Zou:
O-GlcNAcPRED-II: an integrated classification algorithm for identifying O-GlcNAcylation sites based on fuzzy undersampling and a K-means PCA oversampling technique. Bioinform. 34(12): 2029-2036 (2018) - [j3]Wenying He, Cangzhi Jia, Yucong Duan, Quan Zou:
70ProPred: a predictor for discovering sigma70 promoters based on combining multiple features. BMC Syst. Biol. 12(4): 99-107 (2018)
2000 – 2009
- 2008
- [j2]Weiping Wang, Cangzhi Jia, Tian-ming Wang:
Some results on the Apostol-Bernoulli and Apostol-Euler polynomials. Comput. Math. Appl. 55(6): 1322-1332 (2008) - [j1]Wenchang Chu, Cangzhi Jia:
Abel's method on summation by parts and theta hypergeometric series. J. Comb. Theory A 115(5): 815-844 (2008)
Coauthor Index
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