Prediction of E.Coli Promoter Gene Sequences Using a Hybrid Combination Based on Feature Selection, Fuzzy Weighted Pre-processing, and Decision Tree Classifier.
Bayram AkdemirKemal PolatSalih GünesPublished in: KES (1) (2007)
Keyphrases
- escherichia coli
- decision tree classifiers
- feature selection
- preprocessing
- metabolic pathways
- feature extraction
- transcription factor binding sites
- data pre processing
- decision trees
- gene expression
- gene expression data
- sequence alignment
- text categorization
- genomic sequences
- machine learning
- pruning algorithm
- gene regulatory networks
- prediction accuracy
- regulatory networks
- microarray data
- text classification
- biological data
- computational biology
- gene selection
- binding sites
- prediction model
- naive bayes
- fuzzy rules
- decision forest
- feature set
- support vector machine
- neural network
- feature subset
- image compression
- feature space
- gene regulation
- training data