Prediction of sensitivity to gefitinib/erlotinib for EGFR mutations in NSCLC based on structural interaction fingerprints and multilinear principal component analysis.
Bin ZouVictor H. F. LeeHong YanPublished in: BMC Bioinform. (2018)
Keyphrases
- principal component analysis
- lung cancer
- dimensionality reduction
- prediction accuracy
- independent component analysis
- feature space
- principal components
- feature extraction
- higher order
- covariance matrix
- singular value decomposition
- face recognition
- image segmentation
- protein interaction
- clinical trials
- high dimensional data
- high dimensional