ScRAE: Deterministic Regularized Autoencoders with Flexible Priors for Clustering Single-cell Gene Expression Data.
Arnab Kumar MondalHimanshu AsnaniParag SinglaPrathosh APPublished in: CoRR (2021)
Keyphrases
- gene expression data
- high dimensionality
- gene expression analysis
- microarray
- gene expression
- clustering gene expression data
- gene expression profiles
- gene expression data analysis
- microarray data analysis
- microarray data
- high dimensional data
- analysis of gene expression data
- yeast cell cycle
- simultaneous clustering
- data sets
- clustering algorithm
- denoising
- dna microarray
- gene regulatory networks
- feature selection
- gene selection
- gene expression data sets
- gene regulation
- regulatory networks
- clustering method
- microarray gene expression data
- k means
- gene expression profiling
- microarray datasets
- cancer classification
- biclustering algorithms
- gene expression datasets
- multiple clusterings
- cancer diagnosis
- feature space
- high dimensional
- clustering analysis
- data points
- gene networks
- data clustering
- nearest neighbor
- data mining
- high throughput
- neural network
- hierarchical clustering
- image processing
- tissue samples
- information theoretic
- gene ontology terms
- database