Pages that link to "Item:Q2324977"
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The following pages link to Reproducibility of biomarker identifications from mass spectrometry proteomic data in cancer studies (Q2324977):
Displaying 9 items.
- Finding causative genes from high-dimensional data: an appraisal of statistical and machine learning approaches (Q309421) (← links)
- Statistical methods for proteomic biomarker discovery based on feature extraction or functional modeling approaches (Q440396) (← links)
- The effects of nonignorable missing data on label-free mass spectrometry proteomics experiments (Q1728635) (← links)
- Case-control breast cancer study of MALDI-TOF proteomic mass spectrometry data on serum samples (Q2864011) (← links)
- Developing a discrimination rule between breast cancer patients and controls using proteomics mass spectrometric data: a three-step approach (Q2864014) (← links)
- Profiling the effects of short time-course cold ischemia on tumor protein phosphorylation using a Bayesian approach (Q3119845) (← links)
- Sampling uncertainty versus method uncertainty: A general framework with applications to omics biomarker selection (Q3299063) (← links)
- Variance component analysis to assess protein quantification in biomarker discovery. Application to MALDI‐TOF mass spectrometry (Q4634689) (← links)
- Detection of cancer-specific markers amid massive mass spectral data (Q5460820) (← links)
