Machine learning approaches to decipher hormone and HER2 receptor status phenotypes in breast cancer.
Emmanuel S. AdaborGeorge K. Acquaah-MensahPublished in: Briefings Bioinform. (2019)
Keyphrases
- machine learning approaches
- breast cancer
- related genes
- breast cancer diagnosis
- machine learning methods
- computer aided diagnosis
- diagnosis of breast cancer
- machine learning
- early detection
- machine learning algorithms
- survival analysis
- microarray data
- computer aided detection
- logistic regression
- gene expression
- cad systems
- data mining methods
- mammogram images
- microcalcification clusters
- databases
- breast cancer detection
- learning algorithm
- data mining