Integrative analysis of gene expression and DNA methylation using unsupervised feature extraction for detecting candidate cancer biomarkers.
Myungjin MoonKenta NakaiPublished in: J. Bioinform. Comput. Biol. (2018)
Keyphrases
- analysis of gene expression
- microarray technology
- microarray
- gene expression
- microarray data
- feature extraction
- cancer classification
- gene expression profiles
- cancer datasets
- high throughput
- colon cancer
- gene selection
- gene expression data
- cancer diagnosis
- feature selection
- gene sets
- ovarian cancer
- breast cancer
- gene ontology
- image classification
- mass spectrometry
- binding sites
- biological data
- unsupervised learning
- high dimensional
- dimensionality reduction
- image processing
- feature vectors
- random forest
- data sets
- semi supervised
- experimental conditions
- high dimensionality
- principal component analysis
- genomic data
- face recognition
- feature space
- normal tissue
- low cost
- pattern recognition
- support vector machine svm
- microarray datasets
- supervised learning
- computational methods