Pages that link to "Item:Q2864029"
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The following pages link to Breast cancer diagnosis from proteomic mass spectrometry data: a comparative evaluation (Q2864029):
Displaying 13 items.
- Finding causative genes from high-dimensional data: an appraisal of statistical and machine learning approaches (Q309421) (← links)
- On the use of double cross-validation for the combination of proteomic mass spectral data for enhanced diagnosis and prediction (Q544613) (← links)
- Breast cancer prediction using the isotonic separation technique (Q877069) (← links)
- Gradient boosting for high-dimensional prediction of rare events (Q1658126) (← links)
- Prototype based fuzzy classification in clinical proteomics (Q2270370) (← links)
- Case-control breast cancer study of MALDI-TOF proteomic mass spectrometry data on serum samples (Q2864011) (← links)
- Organizing a competition on clinical mass spectrometry based proteomic diagnosis (Q2864012) (← links)
- Developing a discrimination rule between breast cancer patients and controls using proteomics mass spectrometric data: a three-step approach (Q2864014) (← links)
- Classification of breast cancer versus normal samples from mass spectrometry profiles using linear discriminant analysis of important features selected by random forest (Q2864016) (← links)
- A classification model for the Leiden proteomics competition (Q2864018) (← links)
- A cross-validation study to select a classification procedure for clinical diagnosis based on proteomic mass spectrometry (Q2864025) (← links)
- International Competition on Mass Spectrometry Proteomic Diagnosis (Q5396467) (← links)
- Detection of cancer-specific markers amid massive mass spectral data (Q5460820) (← links)
