scRAE: Deterministic Regularized Autoencoders With Flexible Priors for Clustering Single-Cell Gene Expression Data.
Arnab Kumar MondalHimanshu AsnaniParag SinglaPrathosh APPublished in: IEEE ACM Trans. Comput. Biol. Bioinform. (2022)
Keyphrases
- gene expression data
- gene expression analysis
- clustering gene expression data
- microarray
- high dimensionality
- gene expression profiles
- gene expression
- gene expression data analysis
- microarray data
- high dimensional data
- microarray data analysis
- analysis of gene expression data
- yeast cell cycle
- gene regulatory networks
- cancer classification
- simultaneous clustering
- k means
- gene expression profiling
- data sets
- clustering algorithm
- feature selection
- gene expression datasets
- microarray gene expression data
- high dimensional
- multiple clusterings
- regulatory networks
- gene networks
- feature space
- gene expression patterns
- dimensionality reduction
- cancer diagnosis
- clustering analysis
- biclustering algorithms
- dna microarray
- cluster ensemble
- data clustering
- information theoretic
- clustering method
- denoising
- gene selection
- tissue samples
- random forest
- self organizing maps
- data mining