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Cangzhi Jia
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2020 – today
- 2024
- [j23]Changjiang Li, Quan Zou
, Cangzhi Jia
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
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
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
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
Positive-unlabeled learning in bioinformatics and computational biology: a brief review. Briefings Bioinform. 23(1) (2022) - [j18]Meng Zhang
Critical assessment of computational tools for prokaryotic and eukaryotic promoter prediction. Briefings Bioinform. 23(2) (2022) - [j17]Yue Bi, Fuyi Li
Clarion is a multi-label problem transformation method for identifying mRNA subcellular localizations. Briefings Bioinform. 23(6) (2022) - [j16]Yan Zhu
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
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
DeepTorrent: a deep learning-based approach for predicting DNA N4-methylcytosine sites. Briefings Bioinform. 22(3) (2021) - [j13]Yu Zhang
Predicting the interaction biomolecule types for lncRNA: an ensemble deep learning approach. Briefings Bioinform. 22(4) (2021) - [j12]Yan Zhu, Fuyi Li
Computational identification of eukaryotic promoters based on cascaded deep capsule neural networks. Briefings Bioinform. 22(4) (2021) - [j11]Cangzhi Jia
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
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
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
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
4mCPred: machine learning methods for DNA N4-methylcytosine sites prediction. Bioinform. 35(4): 593-601 (2019) - [j5]Meng Zhang
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
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
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
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)
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