A Comprehensive Evaluation of Machine Learning Techniques for Cancer Class Prediction Based on Microarray Data.
Khalid RazaAtif N. HasanPublished in: CoRR (2013)
Keyphrases
- comprehensive evaluation
- microarray data
- gene selection
- biologically significant
- cancer classification
- gene expression profiles
- relevant genes
- dna microarray
- microarray
- microarray technology
- gene expression
- gene expression data
- cancer diagnosis
- high dimensional
- gene expression data sets
- ovarian cancer
- meta analysis
- cluster analysis
- microarray classification
- data sets
- dna microarray data
- small number of samples
- microarray data analysis
- machine learning methods
- microarray gene expression data
- machine learning
- gene networks
- feature selection
- biological data
- gene expression datasets
- selected genes
- biologically relevant
- analysis of gene expression
- colon cancer
- breast cancer
- microarray datasets
- informative genes
- gene clusters
- statistical methods
- differentially expressed genes
- gene expression analysis
- lung cancer
- high throughput
- early detection
- biologically meaningful
- tissue samples
- high dimensionality
- nearest neighbor