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Ni, J.-C
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Ni, J.-C
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GCAEMDA: Predicting miRNA-disease associations via graph convolutional autoencoder
by
Ji, C.-M
,
Li, L.
,
Ni
,
J
.-
C
,
Su, Y.-S
,
Wang, Y.-T
,
Zheng, C.-H
Published 2021
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Related Subjects
Algorithms
Area Under Curve
Article
Computational Biology
Genetic Predisposition to Disease
Humans
MicroRNAs
Models, Genetic
Neoplasms
Neural Networks, Computer
algorithm
area under the curve
autoencoder
biological model
biology
breast tumor
clinical effectiveness
controlled study
cross validation
disease association
embedding
gene sequence
genetic association
genetic predisposition
genetics
graph convolutional autoencoder
human
intermethod comparison
lung tumor
measurement accuracy
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