Statistical learning of peptide retention behavior in chromatographic separations: a new kernel-based approach for computational proteomics.
Nico PfeiferAndreas LeinenbachChristian G. HuberOliver KohlbacherPublished in: BMC Bioinform. (2007)
Keyphrases
- statistical learning
- information theory
- supervised learning
- model selection
- multi view face detection
- statistics and machine learning
- kernel function
- mass spectrometry
- statistical inference
- semi supervised learning
- manifold learning
- kernel methods
- feature space
- reinforcement learning
- machine learning
- data sets
- unsupervised learning
- training data
- artificial intelligence
- structured sparsity
- information retrieval