A two-phase cuckoo search based approach for gene selection and deep learning classification of cancer disease using gene expression data with a novel fitness function.
Amol Avinash JoshiRabia Musheer AzizPublished in: Multim. Tools Appl. (2024)
Keyphrases
- gene selection
- gene expression data
- fitness function
- dna microarray
- cancer classification
- deep learning
- relevant genes
- ovarian cancer
- microarray
- microarray data
- cancer diagnosis
- gene expression profiles
- genetic programming
- gene expression
- dna microarray data
- colon cancer
- gene expression datasets
- tumor classification
- genetic algorithm
- microarray datasets
- support vector machine svm
- microarray data analysis
- gene expression data analysis
- informative genes
- feature selection
- unsupervised learning
- molecular biology
- selected genes
- gene expression analysis
- high dimensionality
- gene sets
- data sets
- feature ranking
- machine learning
- expression profiles
- gene regulatory networks
- gene expression data sets
- tissue samples
- high throughput
- high dimensional data
- support vector
- gene networks
- cluster analysis
- support vector machine
- pattern recognition
- training data
- face recognition
- decision trees