Statistical Analysis of Relative Labeled Mass Spectrometry Data from Complex Samples Using ANOVA

Statistical analysis of relative labeled mass spectrometry data from complex samples using ANOVA.

Statistical tools enable unified analysis of data from multiple global proteomic experiments, producing unbiased estimates of normalization terms despite the missing data problem inherent in these studies. The modeling approach, implementation, and useful visualization tools are demonstrated via a case study of complex biological samples assessed using the iTRAQ relative labeling protocol.

Computational and Statistical Analysis of Protein Mass Spectrometry Data

High-throughput proteomics experiments involving tandem mass spectrometry produce large volumes of complex data that require sophisticated computational analyses. As such, the field offers many challenges for computational biologists. In this article, we briefly introduce some of the core computational and statistical problems in the field and then describe a variety of outstanding problems tha...

Statistical analysis and modeling of mass spectrometry-based metabolomics data.

Multivariate statistical techniques are used extensively in metabolomics studies, ranging from biomarker selection to model building and validation. Two model independent variable selection techniques, principal component analysis and two sample t-tests are discussed in this chapter, as well as classification and regression models and model related variable selection techniques, including parti...

Analysis of Complex Biological Samples using Liquid Chromatography-Fourier Transform Ion Cyclotron Resonance Mass Spectrometry

Analyte migration electrospray ionization for rapid analysis of complex samples with small volume using mass spectrometry.

Complex biological matrices can be effectively removed in the analyte migration process because of their weak solubility in organic solvents. This technique offers other potential advantages, including high-sensitivity and the capability of performing a direct analysis of the components and their metabolites in small-volume raw samples without any pretreatment.