Section outline

  • 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

    • Slides and supplementary materials on PCA Essential Dynamics of proteins, collective coordinates