A deep embedded refined clustering approach for breast cancer distinction based on DNA methylation.
Rocío del AmorAdrián ColomerCarlos MonteagudoValery NaranjoPublished in: Neural Comput. Appl. (2022)
Keyphrases
- breast cancer
- early detection
- diagnosis of breast cancer
- logistic regression
- clustering algorithm
- computer aided diagnosis
- breast cancer diagnosis
- computer aided detection
- dna sequences
- survival analysis
- breast cancer detection
- digital mammography
- cad systems
- data sets
- data mining and statistical
- bladder cancer
- dce mri
- high throughput
- computer aided
- cancer datasets
- knowledge discovery
- decision trees