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A non-supervised algorithm is a computational code that does not require calibration or training to know what to look for and, if it requires it, it is only a part of the code and it modifies itself to adjust the search criteria. The running of these codes does not depend on the programmer as they are independent.

In the proteomics and genomics fields, there are also these types of algorithms and although they are less, they are very useful.

In this chapter, we will use an algorithm of this type named Polarity Index Method^®, to explore SARS-CoV-2 structural proteins.