AEMDA: inferring miRNA-disease associations based on deep autoencoder.
Cunmei JiZhen GaoXu MaQing-Wen WuJian-Cheng NiChunhou ZhengPublished in: Bioinform. (2021)
Keyphrases
- gene function
- gene expression
- genome wide
- gene sets
- genome wide association studies
- gene ontology
- expression profiles
- microarray
- secondary structure
- computational methods
- biological knowledge
- differentially expressed genes
- regulatory networks
- genetic variation
- gene regulation
- differentially expressed
- microarray data analysis
- microarray data
- high throughput
- binding sites
- protein protein interactions
- association rules
- biological processes
- gene expression data
- biomedical literature
- gene regulatory networks
- statistical significance
- textual information
- sequence data
- human genome
- gene selection
- dna sequences
- data mining
- probabilistic model
- cluster analysis
- protein structure
- restricted boltzmann machine
- deep learning
- transcription factors