Predictive modeling of lung cancer recurrence using alternative splicing events versus differential expression data.
Paul E. AndersonVictoria A. McCaffreyE. Starr HazardPatricia M. WatsonMatt R. PaulRobert C. WilsonChadrick E. DenlingerDennis K. WatsonPublished in: CIBCB (2014)
Keyphrases
- lung cancer
- predictive modeling
- alternative splicing
- statistical modeling
- data mining methods
- machine learning
- data mining
- survival prediction
- data analysis
- text mining
- knowledge discovery
- sequence data
- lung cancer patients
- lymph nodes
- big data
- risk factors
- data mining techniques
- pet ct
- cancer cells
- human genome
- medical images
- decision making
- business intelligence
- feature selection
- rna seq
- information systems