Identification of most influential co-occurring gene suites for gastrointestinal cancer using biomedical literature mining and graph-based influence maximization.
Charles C. N. WangJennifer JinJan-Gowth ChangMasahiro HayakawaAtsushi KitazawaJeffrey J. P. TsaiPhillip C.-Y. SheuPublished in: BMC Medical Informatics Decis. Mak. (2020)
Keyphrases
- biomedical literature
- text mining
- influence maximization
- gene ontology terms
- medical literature
- greedy algorithm
- automatic extraction
- protein protein interaction networks
- social networks
- biological entities
- protein protein interactions
- biological processes
- information extraction
- diffusion model
- knowledge discovery
- gene function
- viral marketing
- data analysis
- document clustering
- natural language processing
- online social networks
- gene selection
- text documents
- information diffusion
- machine learning
- keywords
- worst case
- cancer diagnosis
- network analysis
- gene expression data
- microarray