DCDA: CircRNA–Disease Association Prediction with Feed-Forward Neural Network and Deep Autoencoder

Circular RNA is a single-stranded RNA with a closed-loop structure. In recent years, academic research has revealed that circular RNAs play critical roles in biological processes and are related to human diseases. The discovery of potential circRNAs as disease biomarkers and drug targets is crucial...

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Veröffentlicht in:	Interdisciplinary sciences : computational life sciences Jg. 16; H. 1; S. 91 - 103
Hauptverfasser:	Turgut, Hacer, Turanli, Beste, Boz, Betül
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Singapore Springer Nature Singapore 01.03.2024 Springer Nature B.V
Schlagworte:	Algorithms Artificial neural networks Biological activity Biomarkers Biomedical and Life Sciences Circular RNA Closed loops Computational Biology/Bioinformatics Computational Science and Engineering Computer Appl. in Life Sciences Computer applications COVID-19 Datasets Deep learning Dictionaries Disease Experimental methods Health Sciences Life Sciences Machine learning Mathematical and Computational Physics Medicine Methods MicroRNAs Neural networks Original Research Article Performance prediction Ribonucleic acid RNA Semantics Statistics for Life Sciences Theoretical Theoretical and Computational Chemistry Therapeutic targets Vectors (Biology) Deep learning CircRNA–disease association Neural network Autoencoder CircRNA
ISSN:	1913-2751, 1867-1462, 1867-1462
Online-Zugang:	Volltext
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