Dirichlet Process Mixture Model for Correcting Technical Variation in Single-Cell Gene Expression Data.
Sandhya PrabhakaranElham AziziAmbrose CarrDana Pe'erPublished in: ICML (2016)
Keyphrases
- gene expression data
- gene expression
- microarray
- gene selection
- microarray data
- dirichlet process mixture models
- high dimensionality
- analysis of gene expression data
- gene expression profiles
- regulatory networks
- data sets
- gene regulatory networks
- feature selection
- gene networks
- cancer diagnosis
- gene expression analysis
- high dimensional data
- high dimensional
- cancer classification
- dna microarray
- tissue samples
- missing data
- high throughput
- machine learning