Combined embedding model for MiRNA-disease association prediction

Combined embedding model for MiRNA-disease association prediction

Background: Cumulative evidence from biological experiments has confirmed that miRNAs have significant roles to diagnose and treat complex diseases. However, traditional medical experiments have limitations in time-consuming and high cost so that they fail to find the unconfirmed miRNA and disease i...

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Bibliographic Details
Main Authors: Li, Z. (Author), Liang, Z. (Author), Liu, B. (Author), Zhang, L. (Author), Zhu, X. (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
algorithm
Algorithms
Biological experiments
biology
Combined embedding
Computational algorithm
Computational Biology
Cost functions
Disease associations
Disease control
Diseases
Embedding information
Embeddings
Forecasting
Functional similarity
genetics
Heterogeneous networks
human
Humans
Leave-one-out cross validations
male
Male
Meta-path
microRNA
MicroRNAs
MiRNA and disease interactions
Multi layer perceptron
Multilayer neural networks
Network layers
Neural Networks, Computer
Node embedding
Pair embedding
Recurrent neural networks
RNA
Semantics
Similarity informations
software
Software
Statistical methods
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