Identification of non-Hodgkin's lymphoma prognosis signatures using the CTGDR method.
Shuangge MaYawei ZhangJian HuangXuesong HanTheodore HolfordQing LanNathaniel RothmanPeter BoyleTongzhang ZhengPublished in: Bioinform. (2010)
Keyphrases
- experimental evaluation
- detection method
- high accuracy
- clustering method
- fully automatic
- optimization method
- cost function
- computational cost
- machine learning methods
- prior knowledge
- significant improvement
- synthetic data
- support vector machine svm
- markov random field
- high precision
- segmentation method
- model selection
- data sets
- principal component analysis
- classification accuracy
- image segmentation
- machine learning