scVAE: variational auto-encoders for single-cell gene expression data.
Christopher Heje GrønbechMaximillian Fornitz VordingPascal N. TimshelCasper Kaae SønderbyTune H. PersOle WintherBonnie BergerPublished in: Bioinform. (2020)
Keyphrases
- gene expression data
- microarray
- gene expression
- microarray data
- data sets
- analysis of gene expression data
- regulatory networks
- gene regulatory networks
- gene expression data analysis
- gene expression datasets
- gene regulation
- gene networks
- image segmentation
- gene expression analysis
- high dimensional data
- gene expression profiling
- microarray gene expression data
- gene expression data sets
- cancer classification
- gene expression profiles
- gene selection
- high dimensionality
- feature selection
- dna microarray data
- tissue samples
- clustering gene expression data
- gene expression patterns
- biological processes
- high throughput
- high dimensional
- decision trees
- machine learning