Pages that link to "Item:Q2864022"
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The following pages link to Support vector machine approach to separate control and breast cancer serum samples (Q2864022):
Displaying 6 items.
- A mass spectrometric analysis method based on PPCA and SVM for early detection of ovarian cancer (Q519843) (← links)
- Feature selection and machine learning with mass spectrometry data for distinguishing cancer and non-cancer samples (Q713690) (← links)
- Breast cancer prediction using the isotonic separation technique (Q877069) (← links)
- Breast cancer detection from FNA using SVM with different parameter tuning systems and SOM-RBF classifier (Q2642220) (← links)
- Case-control breast cancer study of MALDI-TOF proteomic mass spectrometry data on serum samples (Q2864011) (← links)
- (Q5457036) (← links)