Prediction of Protein Essentiality by the Support Vector Machine with Statistical Tests.
Chiou-Yi HorChang-Biau YangZih-Jie YangChiou-Ting TsengPublished in: ICMLA (1) (2012)
Keyphrases
- statistical tests
- remote homology detection
- support vector machine
- subcellular localization
- stock market prediction
- protein secondary structure
- essential proteins
- contact map
- drug design
- hypothesis testing
- sample size
- statistical analysis
- statistically significant
- prediction accuracy
- contact maps
- protein sequences
- protein interaction
- statistical methods
- independent variables
- statistical significance
- protein protein interactions
- multi class
- protein structure prediction
- svm classifier
- protein secondary structure prediction
- feature vectors
- training data
- experimentally determined
- real world
- feature space
- support vector
- method reduces the number
- amino acids
- protein function
- protein structure
- protein classification
- machine learning