Rider-chicken optimization dependent recurrent neural network for cancer detection and classification using gene expression data.
Chetan Nimba AherAjay Kumar JenaPublished in: Comput. methods Biomech. Biomed. Eng. Imaging Vis. (2021)
Keyphrases
- gene expression data
- cancer detection
- recurrent neural networks
- gene selection
- cancer classification
- microarray
- dna microarray data
- gene expression profiles
- high dimensionality
- gene expression
- microarray data
- gene expression datasets
- dna microarray
- cancer diagnosis
- feature selection
- tumor classification
- gene expression analysis
- colon cancer
- microarray datasets
- classification accuracy
- gene regulatory networks
- data sets
- analysis of gene expression data
- tissue samples
- high dimensional data
- support vector machine svm
- pattern recognition
- high throughput
- gene expression data sets
- decision trees
- feature space
- random forest
- support vector machine
- support vector
- computer vision
- machine learning
- feed forward
- prostate cancer
- feature vectors
- feature ranking
- clustering analysis
- machine learning methods