Advancing cancer driver gene detection via Schur complement graph augmentation and independent subspace feature extraction.
Xinqian MaZhen LiZhenya DuYan XuYifan ChenLinlin ZhuoXiangzheng FuRuijun LiuPublished in: Comput. Biol. Medicine (2024)
Keyphrases
- feature extraction
- principal component analysis
- feature space
- gene selection
- automatic detection
- feature extraction and classification
- dimensionality reduction
- random walk
- cancer diagnosis
- dna microarray
- object detection
- microarray
- extracted features
- weighted graph
- dimension reduction
- low dimensional
- gene expression profiles
- subspace clustering
- false positives
- graph structure
- frequency domain
- high dimensional data
- feature vectors
- preprocessing
- candidate genes
- cancer datasets
- cancer classification
- image processing
- traffic signs
- gene ontology
- lung cancer
- linear subspace
- subspace learning
- face recognition
- clustering algorithm