Gene expression data classification using topology and machine learning models.
Tamal K. DeySayan MandalSoham MukherjeePublished in: BMC Bioinform. (2021)
Keyphrases
- gene expression data
- machine learning models
- microarray
- gene expression
- high dimensionality
- gene expression analysis
- dna microarray data
- gene expression profiles
- machine learning algorithms
- cancer classification
- feature selection
- dna microarray
- colon cancer
- pattern recognition
- microarray data
- gene expression data analysis
- analysis of gene expression data
- spam filtering
- cancer diagnosis
- gene expression data sets
- gene expression datasets
- tumor classification
- microarray datasets
- machine learning approaches
- machine learning
- data sets
- gene selection
- feature space
- high throughput
- learning models
- classification algorithm
- high dimensional data
- support vector machine svm
- classification accuracy
- high dimensional
- feature extraction
- support vector
- support vector machine
- feature vectors
- gene expression profiling
- unsupervised learning
- text categorization
- machine learning methods
- classification rules