Analysis of Proposed and Traditional Boosting Algorithm with Standalone Classification Methods for Classifying Gene Expresssion Microarray Data Using a Reject Option.
Adil Aslam MirLal HussainMuhammad Hammad WaseemAmjad AldweeshSaim RasheedEl Sayed YousefMalik Sajjad Ahmed NadeemElsayed Tag-EldinPublished in: Appl. Artif. Intell. (2022)
Keyphrases
- microarray data
- microarray analysis
- microarray datasets
- microarray
- learning algorithm
- gene networks
- microarray data analysis
- reject option
- k means
- feature selection
- classification algorithm
- gene expression
- biologically meaningful
- supervised learning
- gene selection
- dna microarray
- dna microarray data
- support vector machine svm
- gene expression data
- decision trees
- informative genes
- differentially expressed genes
- gene clusters
- biclustering algorithms
- cluster analysis
- image classification
- training set
- support vector
- similarity measure
- machine learning
- cancer classification
- multi class classification
- data sets
- expectation maximization
- data mining techniques
- data analysis