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What...
Classifion is chemometrics software for classification of
substances using their mass-spectra. The used discriminant analysis is based on Principal Component
Analysis with Mahalanobis Distance (PCA-MD) - part of
multivariate analysis. Classifion has been tested using
mass-spectra, but there is no limitation to be used with any other kind
of characteristic spectra (e.g. VIS, IR, NMR). In latter case the
x-values of the spec must be the detector channel number.
Where does it sit...
Almost every mass-spectrometry lab is equipped with spectral-library
search program with tens of thousands of spectra of pure compounds. The
problems begin when you have very complex substances or using mass-spec
methods different from those used in the spec-libraries. In some cases
you don't need to know what exactly is in the sample, but simply does it
belong to a class of samples you already measured. In all these cases
you need to use classification software. But most of them are general
purposed and require certain knowledge of the statistical methods used.
Here Classifion sits, offering you a classification with
specialized for mass-spectrometry environment and automation allowing
you to "avoid the depths of contemporary statistics", so you can
concentrate on your immediate work.
How does it work...
Classifion needs to be "trained" using several measured
spectra per substance. The "training" itself could be conducted
automatically or manually (supervised). The aim of the training is to
extract substance specific information based on statistical
characteristics, but not on the interpretation of the mass-spectra.
Having some knowledge on the mass-spectra structure could improve
classification precision. Mathematically speaking the extraction is down
to reducing the dimensionality of the spectra variable space (to each
mass corresponds one dimension). PCA is well-known such technique, which
offers other advantages as ordering the principal component by
"significance" (useful for noise reduction).
Classifion can train
itself entirely on autopilot. Just import your data, run Autopilot, sit
back and
enjoy the view. The results will show you how successful the training
was, so in case of problem you should re-examine your data or do
supervised training.
The feature which makes Classifion better than the most of PCA software out
there, is the use of proper factor space for each substance separately, instead of
traditional approach of using common factor space for all substances. That
improves the classification precision and makes the work with Classifion similar
to the spectral-library search software. Classifion can be used remotely from another application
(as COM server) combining remote with user access.
Custom-designed
software...
Classifion is using R project software as a statistical calculation engine.
The R Project for Statistical
Computing is very powerful and yet free software, with hundreds of contributors
from all fields of science.
If you
have R script (or library), you wrote or found, and you would like to apply
the power of R from a friendly interface (as Classifion does), write us
HERE. Interactive charts, colorful tables and
tree-views... the only limitation is your imagination.
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