Supervised regularized canonical correlation analysis: Integrating histologic and proteomic data for predicting biochemical failures.
Abhishek GolugulaGeorge LeeStephen R. MasterMichael D. FeldmanJohn E. TomaszewskiAnant MadabhushiPublished in: EMBC (2011)
Keyphrases
- canonical correlation analysis
- proteomic data
- nonlinear kernel
- least squares
- partial least squares
- spectral data
- high throughput
- canonical correlations
- mass spectrometry data
- semi supervised
- supervised learning
- systems biology
- mass spectrometry
- learning algorithm
- unsupervised learning
- high dimensional
- machine learning
- improved algorithm
- optical flow
- feature selection