Norm for Selection of Sparse Parameter Sets that Accurately Predict Drug Response Phenotype from Viral Genetic Sequences.
Matthew RabinowitzMilena BanjevicAlbert ChanLance MyersRoland WolkowiczJessica HabererJoshua Sweetkind-SingerPublished in: AMIA (2005)
Keyphrases
- regularized least squares
- low rank matrices
- genetic algorithm
- robust principal component analysis
- hidden markov models
- sparse representation
- parameter space
- selection algorithm
- parameter values
- sparse coding
- temporal patterns
- sequence alignment
- drug discovery
- gene expression
- low rank approximation
- evolutionary algorithm
- human immunodeficiency virus
- physico chemical
- feature selection