Pages that link to "Item:Q440396"
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The following pages link to Statistical methods for proteomic biomarker discovery based on feature extraction or functional modeling approaches (Q440396):
Displaying 12 items.
- Feature extraction for proteomics imaging mass spectrometry data (Q262375) (← links)
- Finding causative genes from high-dimensional data: an appraisal of statistical and machine learning approaches (Q309421) (← links)
- Data-driven biomarker analysis using computational omics approaches to assess neurodegenerative disease progression (Q1981122) (← links)
- Proteomic analyser with applications to diagnostics and vaccines (Q2187659) (← links)
- Function-on-scalar quantile regression with application to mass spectrometry proteomics data (Q2194443) (← links)
- Reproducibility of biomarker identifications from mass spectrometry proteomic data in cancer studies (Q2324977) (← links)
- Basic Exploratory Proteins Analysis with Statistical Methods Applied on Structural Features (Q2830563) (← links)
- Profiling the effects of short time-course cold ischemia on tumor protein phosphorylation using a Bayesian approach (Q3119845) (← links)
- An insight into high-resolution mass-spectrometry data (Q3305041) (← links)
- Variance component analysis to assess protein quantification in biomarker discovery. Application to MALDI‐TOF mass spectrometry (Q4634689) (← links)
- Artificial Intelligence and Soft Computing - ICAISC 2004 (Q4666430) (← links)
- Comparison and contrast of two general functional regression modelling frameworks (Q5142167) (← links)
