Mass Spectrometry Data Analysis
The mass spectrometry functions preprocess and classify raw data from SELDI-TOF and MALDI-TOF spectrometers and use statistical learning functions to identify patterns.
Reading raw data —
Load raw mass/charge and ion intensity data from comma-separated-value
(CSV) files, or read a JCAMP-DX-formatted file with mass spectrometry
jcampread) into the MATLAB® environment.
You can also have data in TXT files and use the
Preprocessing raw data —
Resample high-resolution data to a lower resolution (
msresample) where the extra data points
are not needed. Correct the baseline (
Align a spectrum to a set of reference masses (
msalign) and visually verify the alignment
msheatmap). Normalize the
area between spectra for comparing (
and filter out noise (
Spectrum analysis —
Load spectra into a GUI (
for selecting mass peaks and further analysis.
The following graphic illustrates the roles of the various mass spectrometry functions in the toolbox.