scAce: an adaptive embedding and clustering method for single-cell gene expression data.
Xinwei HeKun QianZiqian WangShirou ZengHongwei LiWei Vivian LiPublished in: Bioinform. (2023)
Keyphrases
- clustering method
- gene expression data
- gene expression
- microarray
- microarray data
- hierarchical clustering
- cluster analysis
- clustering algorithm
- clustering analysis
- gene expression data analysis
- data sets
- cancer classification
- high dimensionality
- gene expression analysis
- document clustering
- regulatory networks
- cancer diagnosis
- microarray gene expression data
- gene regulatory networks
- gene expression profiles
- affinity propagation
- spectral clustering
- fuzzy c means
- feature selection
- analysis of gene expression data
- similarity measure
- subspace clustering
- gene networks
- k means
- dna microarray
- tissue samples
- data matrix
- gene selection
- high dimensional
- pattern recognition
- gene expression datasets
- microarray datasets
- image processing
- machine learning