Chun-Chun Wang

Orcid: 0000-0002-6795-4007

According to our database1, Chun-Chun Wang authored at least 16 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
RFEM: A framework for essential microRNA identification in mice based on rotation forest and multiple feature fusion.
Comput. Biol. Medicine, 2024

2023
GPCNDTA: Prediction of drug-target binding affinity through cross-attention networks augmented with graph features and pharmacophores.
Comput. Biol. Medicine, November, 2023

MCFF-MTDDI: multi-channel feature fusion for multi-typed drug-drug interaction prediction.
Briefings Bioinform., July, 2023

SNRMPACDC: computational model focused on Siamese network and random matrix projection for anticancer synergistic drug combination prediction.
Briefings Bioinform., January, 2023

2022
Predicting drug-target binding affinity through molecule representation block based on multi-head attention and skip connection.
Briefings Bioinform., 2022

Ensemble of kernel ridge regression-based small molecule-miRNA association prediction in human disease.
Briefings Bioinform., 2022

Dual-Network Collaborative Matrix Factorization for predicting small molecule-miRNA associations.
Briefings Bioinform., 2022

Prediction of potential miRNA-disease associations based on stacked autoencoder.
Briefings Bioinform., 2022

2021
Identification of miRNA-disease associations via multiple information integration with Bayesian ranking.
Briefings Bioinform., 2021

Microbes and complex diseases: from experimental results to computational models.
Briefings Bioinform., 2021

Drug-pathway association prediction: from experimental results to computational models.
Briefings Bioinform., 2021

Circular RNAs and complex diseases: from experimental results to computational models.
Briefings Bioinform., 2021

Predicting potential small molecule-miRNA associations based on bounded nuclear norm regularization.
Briefings Bioinform., 2021

Deep-belief network for predicting potential miRNA-disease associations.
Briefings Bioinform., 2021

2019
RFSMMA: A New Computational Model to Identify and Prioritize Potential Small Molecule-MiRNA Associations.
J. Chem. Inf. Model., 2019

A Unified Framework for the Prediction of Small Molecule-MicroRNA Association Based on Cross-Layer Dependency Inference on Multilayered Networks.
J. Chem. Inf. Model., 2019


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