Computational Methods for Predicting Autism Spectrum Disorder from Gene Expression Data.
Junpeng ZhangThin NguyenBuu Minh Thanh TruongLin LiuJiuyong LiThuc Duy LePublished in: ADMA (2020)
Keyphrases
- computational methods
- gene expression data
- gene expression
- microarray
- autism spectrum disorder
- microarray data
- high dimensionality
- gene regulatory networks
- gene networks
- feature selection
- data sets
- regulatory networks
- computational approaches
- high dimensional data
- statistical methods
- high dimensional
- gene expression analysis
- dna microarray
- gene expression profiles
- high throughput
- gene expression data sets
- gene selection
- protein protein interactions
- saccharomyces cerevisiae
- cancer diagnosis
- gene expression patterns
- gene expression data analysis
- qualitative analysis
- cancer classification
- genomic data
- computational tools
- protein function
- biological processes
- high risk
- data mining techniques
- nearest neighbor
- biological information
- knowledge discovery
- protein function prediction
- decision trees
- protein interaction data
- data mining