A fast and novel approach based on grouping and weighted mRMR for feature selection and classification of protein sequence data.
Kiranpreet KaurNagamma PatilPublished in: Int. J. Data Min. Bioinform. (2020)
Keyphrases
- sequence data
- feature selection and classification
- sequence analysis
- nucleotide sequences
- regulatory elements
- genome sequences
- sequence databases
- feature selection
- sequence classification
- binding sites
- high dimensionality
- sequence alignment
- profile hidden markov models
- biological sequences
- feature selection algorithms
- high dimensional
- dna binding
- machine learning
- protein sequences
- feature extraction