Artificial Intelligence Analysis of the Gene Expression of Follicular Lymphoma Predicted the Overall Survival and Correlated with the Immune Microenvironment Response Signatures.
Joaquim CarrerasYara Yukie KikutiMasashi MiyaokaShinichiro HiraiwaSakura TomitaHaruka IkomaYusuke KondoAtsushi ItoNaoya NakamuraRifat A. HamoudiPublished in: Mach. Learn. Knowl. Extr. (2020)
Keyphrases
- gene expression
- intelligence analysis
- gene expression data
- microarray
- survival prediction
- colon cancer
- dna microarray
- microarray data
- law enforcement
- microarray datasets
- gene expression patterns
- data quality
- gene regulatory networks
- visual analytics
- gene expression profiles
- cyber security
- data mining
- high dimensionality
- binding sites
- gene selection
- highly correlated
- high throughput
- national security
- biological networks
- emergency response
- anomaly detection
- sensemaking
- cancer classification
- cancer diagnosis
- dimensionality reduction
- text mining
- feature selection
- real world