A highly accurate protein structural class prediction approach using auto cross covariance transformation and recursive feature elimination.
Xiaowei LiTaigang LiuPeiying TaoChunhua WangLanming ChenPublished in: Comput. Biol. Chem. (2015)
Keyphrases
- highly accurate
- protein structural
- recursive feature elimination
- protein sequences
- support vector machine
- high quality
- feature selection
- gene selection
- cancer diagnosis
- high accuracy
- accurate models
- protein structure
- small samples
- covariance matrix
- data sets
- microarray
- sequence analysis
- cancer classification
- support vector