A biological network-based regularized artificial neural network model for robust phenotype prediction from gene expression data.
Tianyu KangWei DingLuoyan ZhangDaniel ZiemekKourosh ZarringhalamPublished in: BMC Bioinform. (2017)
Keyphrases
- gene expression data
- neural network model
- gene expression
- gene expression analysis
- gene expression data analysis
- microarray
- regulatory networks
- biological processes
- protein interaction
- neural network
- gene regulation
- analysis of gene expression data
- biological knowledge
- dna microarray
- gene expression patterns
- microarray data
- yeast cell cycle
- artificial neural networks
- biological information
- biological systems
- gene regulatory networks
- microarray gene expression data
- analysis of gene expression
- molecular biology
- feature selection
- gene expression profiling
- multi layer perceptron
- high dimensionality
- gene selection
- gene expression profiles
- biological data
- data sets
- gene expression datasets
- protein interaction data
- genomic data
- microarray datasets
- binding sites
- high dimensional
- biclustering algorithms
- training data
- life sciences
- high dimensional data
- gene ontology terms