Unsupervised Learning Techniques to identify Biological Agents for Mass Spectrometry

This repository explores the application of unsupervised learning techniques to identify and classify biological agents from mass spectrometry data. Our dataset consists of mass spectra for two proteins (Protein A and B) and two bacterial agents (Bacteria C and D).

Below is an illustration of the mass spectra for the four agents.

The figure comprises:

• Top Panel: Heatmaps displaying the intensity patterns of the mass spectra for each biological agent.
• Number of Spectral Bands: Corresponding spectral plots highlighting key intensity peaks and variations. These patterns serve as distinct features for differentiation.

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