Graph- and rule-based learning algorithms: a comprehensive review of their applications for cancer type classification and prognosis using genomic data.
Saurav MallikZhongming ZhaoPublished in: Briefings Bioinform. (2020)
Keyphrases
- outcome prediction
- genomic data
- high throughput
- learning algorithm
- gene expression profiles
- biological data
- machine learning algorithms
- machine learning methods
- gene expression data
- machine learning
- supervised learning
- protein protein interactions
- breast cancer
- random walk
- cancer classification
- gene ontology
- decision trees
- support vector machine svm
- training set
- feature extraction
- genome wide
- experimental conditions
- feature selection
- databases
- cancer diagnosis
- gene selection
- data integration
- unsupervised learning