Accurate prediction of major histocompatibility complex class II epitopes by sparse representation via l1-minimization.
Clemente Aguilar-BonavidesReinaldo Sanchez-AriasCristina LanzasPublished in: BioData Min. (2014)
Keyphrases
- binding peptides
- sparse representation
- major histocompatibility complex
- dictionary learning
- sparse coding
- norm minimization
- mhc class ii
- image classification
- compressed sensing
- signal processing
- image patches
- face recognition
- random projections
- compressive sensing
- regularized least squares
- sparse approximations
- image representation
- dimensionality reduction
- data sets
- joint optimization
- high dimensional data
- image processing
- test images
- objective function
- sparsity constraints
- sparse reconstruction