Label reusing based graph neural network for unbalanced classification of personalized driver genes in cancer.
Han-Wen WanMeng-Han WuWen-Shan ZhaoHan ChengYing BiXian-Fang WangXiang-Rui ZhangYan LiWeifeng GuoPublished in: Appl. Soft Comput. (2024)
Keyphrases
- neural network
- gene expression profiles
- cancer classification
- cancer diagnosis
- colon cancer
- pattern recognition
- learning vector quantization
- class labels
- gene selection
- dna microarray
- classification accuracy
- cancer datasets
- gene expression
- feature selection
- microarray
- gene expression datasets
- microarray data
- artificial neural networks
- feature extraction
- text classification
- multi layer perceptron
- microarray data analysis
- machine learning
- survival prediction
- relevant genes
- microarray datasets
- label propagation
- graph mining
- self organizing maps
- image classification
- supervised learning
- support vector machine
- multi label classification
- network model
- gene expression analysis
- support vector machine svm
- ovarian cancer
- training set
- decision trees