An Encoding-Decoding Framework Based on CNN for circRNA-RBP Binding Sites Prediction
Author:
Affiliation:
1. School of Computer Science, Shaanxi Normal University,Xi'an,China,710119
2. Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences,Faculty of Computer Science and Control Engineering,Shenzhen,China,518055
Funder
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/9970761/10410587/10410582.pdf?arnumber=10410582
Reference37 articles.
1. Circular RNAs: Characterization, cellular roles, and applications
2. Mechanism underlying circRNA dysregulation in the TME of digestive system cancer
3. Predicting disease-associated circular RNAs using deep forests combined with positive-unlabeled learning methods
4. Association predictions of genomics, proteinomics, transcriptomics, microbiome, metabolomics, pathomics, radiomics, drug, symptoms, environment factor, and disease networks: A comprehensive approach
5. Circular RNAs and complex diseases: from experimental results to computational models
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