Cangzhi Jia
Orcid: 0000-0002-4682-2881
According to our database1,
Cangzhi Jia
authored at least 25 papers
between 2008 and 2024.
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Bibliography
2024
MAMLCDA: A Meta-Learning Model for Predicting circRNA-Disease Association Based on MAML Combined With CNN.
IEEE J. Biomed. Health Informatics, July, 2024
AMPpred-MFA: An Interpretable Antimicrobial Peptide Predictor with a Stacking Architecture, Multiple Features, and Multihead Attention.
J. Chem. Inf. Model., 2024
A two-task predictor for discovering phase separation proteins and their undergoing mechanism.
Briefings Bioinform., 2024
Briefings Bioinform., 2024
2023
PredLLPS_PSSM: a novel predictor for liquid-liquid protein separation identification based on evolutionary information and a deep neural network.
Briefings Bioinform., September, 2023
TIMER is a Siamese neural network-based framework for identifying both general and species-specific bacterial promoters.
Briefings Bioinform., July, 2023
2022
O-glycosylation site prediction for Homo sapiens by combining properties and sequence features with support vector machine.
J. Bioinform. Comput. Biol., 2022
Critical assessment of computational tools for prokaryotic and eukaryotic promoter prediction.
Briefings Bioinform., 2022
Positive-unlabeled learning in bioinformatics and computational biology: a brief review.
Briefings Bioinform., 2022
Clarion is a multi-label problem transformation method for identifying mRNA subcellular localizations.
Briefings Bioinform., 2022
2021
Computational identification of eukaryotic promoters based on cascaded deep capsule neural networks.
Briefings Bioinform., July, 2021
Formator: Predicting Lysine Formylation Sites Based on the Most Distant Undersampling and Safe-Level Synthetic Minority Oversampling.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
Predicting the interaction biomolecule types for lncRNA: an ensemble deep learning approach.
Briefings Bioinform., 2021
DeepCPP: a deep neural network based on nucleotide bias information and minimum distribution similarity feature selection for RNA coding potential prediction.
Briefings Bioinform., 2021
DeepTorrent: a deep learning-based approach for predicting DNA N4-methylcytosine sites.
Briefings Bioinform., 2021
2020
Pippin: A random forest-based method for identifying presynaptic and postsynaptic neurotoxins.
J. Bioinform. Comput. Biol., 2020
PASSION: an ensemble neural network approach for identifying the binding sites of RBPs on circRNAs.
Bioinform., 2020
PRISMOID: a comprehensive 3D structure database for post-translational modifications and mutations with functional impact.
Briefings Bioinform., 2020
IEEE Access, 2020
2019
MULTiPly: a novel multi-layer predictor for discovering general and specific types of promoters.
Bioinform., 2019
Bioinform., 2019
2018
70ProPred: a predictor for discovering sigma70 promoters based on combining multiple features.
BMC Syst. Biol., 2018
O-GlcNAcPRED-II: an integrated classification algorithm for identifying O-GlcNAcylation sites based on fuzzy undersampling and a K-means PCA oversampling technique.
Bioinform., 2018
2008
J. Comb. Theory A, 2008
Comput. Math. Appl., 2008