Identification of the PCA29 gene signature as a predictor in prostate cancer.
Jung-Yu LeeSi-Yu LinChun-Yu LinYi-Hsuan ChuangSing-Han HuangYu-Yao TsengHung-Jung WangJinn-Moon YangPublished in: J. Bioinform. Comput. Biol. (2019)
Keyphrases
- prostate cancer
- principal component analysis
- mr images
- image guided
- computer aided
- deformable registration
- dimensionality reduction
- microarray
- neural network
- cancer detection
- feature extraction
- cancer patients
- medical image analysis
- face recognition
- gene expression
- gene expression data
- image data
- high dimensional
- prostate segmentation
- normal tissue
- radiation therapy
- disease progression
- histological images
- low dimensional
- pattern recognition
- machine learning