Integration of Microarray and Textual Data Improves the Prognosis Prediction of Breast, Lung, and Ovarian Cancer Patients.
O. GaevertSteven Van VoorenBart De MoorPublished in: Pacific Symposium on Biocomputing (2008)
Keyphrases
- microarray
- cancer patients
- textual data
- cancer classification
- gene expression
- gene selection
- high throughput
- gene expression data
- microarray data
- information extraction
- breast cancer
- raw data
- cancer diagnosis
- text mining
- gene expression profiles
- gene ontology
- clinical data
- random forest
- text categorization
- textual information
- high dimensionality
- experimental conditions
- natural language processing
- text documents
- lymph nodes
- prostate cancer
- clinical trials
- ct scans
- lung cancer
- ct images
- feature selection
- treatment planning
- microarray datasets
- gene sets
- data analysis