Bioinformatics Toolbox

Mass Spectrometry Data Analysis

Bioinformatics Toolbox provides a set of functions for mass spectrometry data analysis. These functions enable preprocessing, classification, and marker identification from SELDI, MALDI, LC/MS, and GC/MS data. Preprocessing functions include baseline correction, smoothing, calibration, and resampling. You can align raw spectra data using the M/Z axis and perform retention-time alignment on LC/MS and GC/MS data. You can plot multiple spectra simultaneously.

Label-free differential proteomics and metabolomics analysis using Bioinformatics Toolbox.

Label-free differential proteomics and metabolomics analysis using Bioinformatics Toolbox.

You can smooth, align, and normalize spectra and then use classification and statistical learning tools to create classifiers and identify potential biomarkers.

bioinfo-cancerdetectdemo

Identifying Significant Features and Classifying Protein Profiles
See classification of mass spectrometry data and statistical tools that can be used to look for potential disease markers and proteomic pattern diagnostics.

Next: Graph Theory, Statistical Learning, and Gene Ontology

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Classification de données dans un espace à très grande dimension avec MATLAB

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