Prediction of tumor purity from gene expression data using machine learning.
Bonil KooJe-Keun RheePublished in: Briefings Bioinform. (2021)
Keyphrases
- gene expression data
- tumor classification
- machine learning
- cancer diagnosis
- microarray
- gene expression
- tissue samples
- feature selection
- prediction accuracy
- microarray data
- gene selection
- data sets
- gene expression analysis
- high dimensionality
- gene expression profiles
- analysis of gene expression data
- gene expression datasets
- gene expression data analysis
- microarray gene expression data
- cancer classification
- gene regulatory networks
- pattern recognition
- regulatory networks
- high throughput
- clustering gene expression data
- microarray datasets
- gene networks
- gene expression patterns
- high dimensional
- gene expression profiling
- dna microarray
- biological information
- machine learning methods
- natural language processing
- decision trees
- computational biology
- breast cancer