Explainable artificial intelligence to predict and identify prostate cancer tissue by gene expression.
Alberto Ramírez-MenaEduardo Andrés LeónMaria Jesus Alvarez-CuberoAugusto Anguita-RuizLuis Javier Martinez-GonzalezJesús Alcalá-FdezPublished in: Comput. Methods Programs Biomed. (2023)
Keyphrases
- gene expression
- prostate cancer
- microarray
- normal tissue
- gene expression data
- computer aided
- microarray data
- biological processes
- mr images
- gene expression levels
- image guided
- cancer detection
- dce mri
- image analysis
- gene expression patterns
- regulatory networks
- gene selection
- medical image analysis
- binding sites
- neural network
- radiation therapy
- gene ontology
- mutual information
- machine learning
- transcription factors
- high throughput
- gene expression profiles
- tissue samples
- microarray datasets
- cancer classification
- deformable models
- magnetic resonance