Keyphrases
Proteomic Profiling
100%
Sample Size Calculation
66%
Clinical Proteomics
66%
Mass Spectrometry
66%
Surface-enhanced Laser Desorption/ionization Time-of-flight Mass Spectrometry (SELDI-TOF-MS)
44%
Colorectal Cancer
44%
False Discovery Rate
38%
Solvent-based
33%
Class Comparison
33%
Spike-based
33%
Hochberg's Method
33%
Benjamini-Hochberg
33%
Chromatogram
33%
Liquid Chromatography-tandem Mass Spectrometry (LC-MS/MS)
33%
Colon Cancer
33%
High-frequency Noise
33%
Mass Spectrometry Data
33%
Multiple Testing
33%
Sampling numbers
22%
Matrix-assisted Laser Desorption Ionization (MALDI)
19%
Early Disease
19%
Multiple Testing Problem
16%
Large-scale multiple Testing
16%
Benjamini-Hochberg Procedure
16%
Low Molecular Weight Proteome
16%
Optimization Problem
16%
Multivariate Methods
16%
Non-cancer
16%
Numerical Examples
16%
Multiple Testing Procedure
11%
Imbalanced Data
11%
Phenotypic Groups
11%
Data Design
11%
Chip Type
11%
Clinically Meaningful Difference
11%
Joint Distribution
11%
Discretized
11%
Protein Expression
11%
Number of Subjects
11%
Small Size Sample
11%
Expression Data
11%
Statistical Power
11%
Few Samples
11%
Design Characteristics
11%
In Cancer
11%
Reducing Power
11%
Hepcidin 20
8%
Logistic Regression Classifier
8%
Blood Biomarkers
8%
Urine Proteome
8%
Proteomic Changes
8%
Stool Biomarker
8%
MALDI Profiling
8%
Developing World
8%
Most Common Cause
8%
Serum Proteome
8%
Technical Variability
8%
Biological Variation
8%
Control Subjects
8%
Clinical Application
8%
Biomarker Discovery
8%
Multiple Linear Regression
8%
Stable Isotopes
8%
T-test
8%
Fibrinogen
8%
Protein Concentration
8%
Cancer Causes
8%
Variance Components
8%
Early Detection
8%
High Specificity
8%
Linear Mixed Model
8%
Cancer Mortality
8%
High Sensitivity
8%
Patients with Colorectal Cancer
8%
β2-microglobulin (β2-MG)
8%
MALDI-TOF
8%
Disease Marker
8%
Cancer Control
8%
Protein Quantification
5%
Complex Biological Fluids
5%
Multiple Observations
5%
Regression Testing
5%
Large Set
5%
Test Statistic
5%
Generalized Linear Model
5%
Sensitive Detection
5%
Multiple Comparisons
5%
Z-domain
5%
Number of Tests
5%
Complex Data
5%
Cytochrome c (Cyt c)
5%
Low Protein
5%
Trypsin
5%
Biochemistry, Genetics and Molecular Biology
Proteomics
66%
Proteome
40%
Mass Spectrometry
33%
Spike
33%
Liquid Chromatography-Mass Spectrometry
33%
Colon
33%
Sample Size
33%
Matrix-Assisted Laser Desorption-Ionization
28%
Molecular Weight
17%
Beta-2 Microglobulin
11%
Fibrinogen
11%
Hepcidin
11%
Cytochrome C
6%
Mathematics
Sample Size Calculation
66%
False Discovery Rate
33%
Benjamini-Hochberg Method
33%
Sample Size Determination
33%
Covariate
33%
Testing Problem
16%
Multiple Testing
16%
Benjamini
16%
Design Experiment
16%
Numerical Example
16%
Molecular Weight
11%
Linear Mixed Model
11%
Variance
11%
Joint Distribution
5%
Replicate
5%
Confounders
5%
Statistical Power
5%