Section outline
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LECTURES N. 19 and 20
Introduction to Principal Components Analysis (PCA)
Dealing with multivariate contexts in which several correlated variables interfere in a phenomenon, the idea is to
LINEAR transform the original variables into uncorrelated ones that are ordered following their variance. The low variance transformed variables can be neglected, realizing a dimensional compression of the initial data.
Protein essential dynamics as PCA. The principal components associated to the multi-dimernsional protein dynamics are
collective coordinates of potential biological meaning.
STUDY MATERIALS IN CB-23_24_PACK_8
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Slides and supplementary materials on PCA Essential Dynamics of proteins, collective coordinates
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