Unsupervised Feature Selection for Biomarker Identification in Chromatography and Gene Expression Data.
Marc StrickertNese SreenivasuluSilke PeterekWinfriede WeschkeHans-Peter MockUdo SeiffertPublished in: ANNPR (2006)
Keyphrases
- gene expression data
- unsupervised feature selection
- data matrix
- feature selection
- microarray
- mass spectrometry
- gene expression
- analysis of gene expression data
- microarray data
- high throughput
- data sets
- high dimensionality
- data clustering
- gene regulatory networks
- high dimensional data
- gene expression analysis
- gene expression profiles
- regulatory networks
- high dimensional
- gene selection
- dimensionality reduction
- cancer classification
- dna microarray
- gene expression datasets
- classification accuracy
- knn
- support vector
- feature extraction
- support vector machine
- image processing
- missing values
- machine learning