Informational rescaling of PCA maps with application to genetic distance

Principal Component Analysis (PCA) is a powerful multivariate tool allowing the projection of data in low-dimensional representations. Nevertheless, datapoint distances on these low-dimensional projections are challenging to interpret. Here, we propose a computationally simple heuristic to transform...

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Bibliographic Details

Published in:	Computational and Structural Biotechnology Journal
Main Authors:	Nassim Nicholas Taleb, Pierre Zalloua, Khaled Elbassioni, Haralampos Hatzikirou, Andreas Henschel, Daniel E. Platt
Format:	Article
Language:	English
Published:	Elsevier 2025-01-01
Subjects:	Entropy Mutual information Information theory Genetic distance Genetic maps
Online Access:	http://www.sciencedirect.com/science/article/pii/S2001037024004136