A study on metaheuristics approaches for gene selection in microarray data: algorithms, applications and open challenges.
Alok Kumar ShuklaDiwakar TripathiB. Ramachandra ReddyD. ChandramohanPublished in: Evol. Intell. (2020)
Keyphrases
- microarray data
- gene selection
- microarray
- microarray analysis
- cancer classification
- gene expression
- gene expression data
- microarray classification
- high dimensional
- microarray data analysis
- feature selection
- biologically relevant
- dna microarray data
- cluster analysis
- small number of samples
- data sets
- cancer diagnosis
- differentially expressed genes
- microarray gene expression data
- gene expression profiles
- gene networks
- microarray datasets
- informative genes
- ovarian cancer
- dna microarray
- gene clusters
- relevant genes
- biological data
- machine learning
- high dimensionality
- high throughput
- support vector machine svm
- support vector machine