Machine learning analysis of gene expression data reveals novel diagnostic and prognostic biomarkers and identifies therapeutic targets for soft tissue sarcomas.
David G. P. van IJzendoornKaroly SzuhaiInge H. Briaire-de BruijnMarie KostineMarieke L. KuijjerJudith V. M. G. BovéePublished in: PLoS Comput. Biol. (2019)
Keyphrases
- soft tissue
- machine learning
- analysis of gene expression data
- medical images
- finite element
- magnetic resonance
- gene expression data
- breast cancer
- maxillofacial surgery
- deformable models
- image registration
- clinical trials
- gene expression analysis
- gene expression data analysis
- soft tissue deformation
- minimally invasive surgery
- decision trees
- feature selection
- computer vision
- automatic segmentation
- machine learning methods
- mr images
- pattern recognition
- mass spring model
- gene expression
- mass spring
- microarray