Pages that link to "Item:Q5701244"
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The following pages link to A data-analytic strategy for protein biomarker discovery: profiling of high-dimensional proteomic data for cancer detection (Q5701244):
Displaying 15 items.
- Multiple testing of local maxima for detection of peaks in 1D (Q450000) (← links)
- Analysis of proteomics data: an improved peak alignment approach (Q470446) (← links)
- Binary Markov random fields and interpretable mass spectra discrimination (Q523937) (← links)
- A new genetic algorithm in proteomics: feature selection for SELDI-TOF data (Q1023781) (← links)
- Detecting and aligning peaks in mass spectrometry data with applications to MALDI (Q2490515) (← links)
- Developing a discrimination rule between breast cancer patients and controls using proteomics mass spectrometric data: a three-step approach (Q2864014) (← links)
- Boosting with missing predictors (Q3305011) (← links)
- Partially Supervised Learning Using an EM‐Boosting Algorithm (Q3435681) (← links)
- Bayesian Analysis of Mass Spectrometry Proteomic Data Using Wavelet-Based Functional Mixed Models (Q3506497) (← links)
- A resample-replace lasso procedure for combining high-dimensional markers with limit of detection (Q5056946) (← links)
- Formal Concept Analysis for the Identification of Combinatorial Biomarkers in Breast Cancer (Q5445338) (← links)
- Detection of cancer-specific markers amid massive mass spectral data (Q5460820) (← links)
- Multiscale Processing of Mass Spectrometry Data (Q5492103) (← links)
- Functional and parametric estimation in a semi- and nonparametric model with application to mass-spectrometry data (Q6633141) (← links)
- Shrinkage estimation applied to a semi-nonparametric regression model (Q6636002) (← links)