Prediction of DNA binding protein using FC feature selection in SVM with PsePSSM feature representation.
Achmad RidokPublished in: SIET (2020)
Keyphrases
- feature representation
- dna binding
- feature selection
- feature set
- feature extraction
- support vector
- protein interaction
- binding sites
- genome wide
- support vector machine
- low dimensional
- knn
- ensemble classifier
- face recognition
- feature vectors
- transcription factors
- feature space
- dimensionality reduction
- protein structure prediction
- machine learning
- classification accuracy
- gene expression
- sequence similarity
- high dimensionality
- transcription factor binding sites
- regulatory networks
- biological processes
- high dimensional
- nearest neighbor
- image processing
- microarray data
- high dimensional data
- sparse representation
- sequence data
- biological systems
- computational methods
- training data
- protein families
- gene expression data
- similarity measure