Drug repositioning for non-small cell lung cancer by using machine learning algorithms and topological graph theory.
Chien-Hung HuangPeter Mu-Hsin ChangChia-Wei HsuChi-Ying F. HuangKa-Lok NgPublished in: BMC Bioinform. (2016)
Keyphrases
- machine learning algorithms
- graph theory
- lung cancer
- cancer cells
- learning algorithm
- benchmark data sets
- machine learning
- machine learning methods
- decision trees
- social network analysis
- graph theoretical
- early detection
- automated detection
- machine learning approaches
- machine learning models
- lung cancer patients
- graph based representations
- survival prediction
- cancer diagnosis
- lymph nodes
- complex networks
- statistical machine learning
- maximal cliques
- pet ct
- risk factors
- data sets
- topological properties