Cancer Detection Using Co-Training of SNP/Gene/MiRNA Expressions Classifiers.
Reham MohamedNagia M. GhanemMohamed A. IsmailPublished in: PACBB (2016)
Keyphrases
- co training
- cancer detection
- gene expression
- gene selection
- genome wide
- gene function
- microarray
- gene ontology
- high throughput
- gene expression data
- regulatory networks
- gene sets
- microarray data
- semi supervised learning
- semi supervised
- multi view
- unlabeled data
- gene regulation
- cancer classification
- single view
- text classification
- supervised learning
- biological processes
- training examples
- gene expression profiles
- prostate cancer
- computational methods
- gene regulatory networks
- training data
- labeled data
- binding sites
- support vector machine svm
- secondary structure
- human genome
- natural language
- unsupervised learning
- biomedical literature
- named entities
- transcription factors
- experimental conditions
- machine learning
- feature vectors
- pairwise
- biological data
- protein protein interactions
- learning algorithm