Inferring subgroup-specific driver genes from heterogeneous cancer samples via subspace learning with subgroup indication.
Jianing XiXiguo YuanMinghui WangAo LiXuelong LiQinghua HuangPublished in: Bioinform. (2020)
Keyphrases
- subspace learning
- dna microarray
- dimensionality reduction
- gene selection
- gene expression datasets
- tissue samples
- gene expression data
- gene expression profiles
- gene expression
- face recognition
- microarray
- sparse coding
- cancer datasets
- cancer classification
- data representation
- microarray datasets
- principal component analysis
- semi supervised
- learning algorithm
- candidate genes
- manifold learning
- microarray data
- data sets
- high dimensional data
- cancer diagnosis
- pattern recognition
- computer vision
- breast cancer
- sparse representation
- generative model
- low dimensional
- co occurrence
- object recognition
- maximum margin criterion