A Gene-disease-based Machine Learning Approach to Identify Prostate Cancer Biomarkers.
Osama HamzehLuis RuedaPublished in: BCB (2019)
Keyphrases
- prostate cancer
- disease progression
- machine learning
- candidate genes
- computer aided
- low grade
- gene sets
- image guided
- cancer patients
- mr images
- cross sectional
- cancer detection
- early diagnosis
- medical image analysis
- computer vision
- decision trees
- pattern recognition
- microarray
- proteomic data
- gene clusters
- biologically meaningful
- blood vessels
- signaling pathways
- radiation therapy
- breast cancer
- clinical trials
- gene ontology
- gene expression
- gene expression profiles
- medical images
- microarray data
- multi class
- gene function
- prostate segmentation
- image segmentation
- magnetic resonance