Interpretability of artificial hydrocarbon networks for breast cancer classification.
Hiram Ponce-EspinosaMaría de Lourdes Martínez-VillaseñorPublished in: IJCNN (2017)
Keyphrases
- cancer classification
- gene selection
- microarray
- gene expression profiling
- random forest
- microarray data
- gene expression data
- cancer diagnosis
- gene expression profiles
- colon cancer
- prediction accuracy
- network structure
- network analysis
- image classification
- experimental conditions
- feature selection
- data sets
- low dimensional
- data analysis