The identification of highly upregulated genes in claudin-low breast cancer through an integrative bioinformatics approach.
Hatem ZayedPublished in: Comput. Biol. Medicine (2020)
Keyphrases
- breast cancer
- related genes
- cancer datasets
- breast cancer diagnosis
- diagnosis of breast cancer
- early detection
- gene expression analysis
- systems biology
- computer aided diagnosis
- gene expression
- logistic regression
- computer aided detection
- breast cancer patients
- microarray data
- survival analysis
- bladder cancer
- mammogram images
- machine learning
- data mining
- cad systems
- biological data
- high throughput
- microarray
- data analysis
- breast cancer detection
- gene selection
- cancer diagnosis
- computer aided
- cancer patients
- statistical analysis
- data mining and statistical
- data sets