A strategy to incorporate prior knowledge into correlation network cutoff selection
Benedetti, Elisa;Pučić-Baković, Maja;Keser, Toma;Gerstner, Nathalie;Büyüközkan, Mustafa;Štambuk, Tamara;Selman, Maurice H. J.;Rudan, Igor;Polašek, Ozren;Hayward, Caroline;Al-Amin, Hassen;Suhre, Karsten;Kastenmüller, Gabi;Lauc, Gordan;Krumsiek, Jan;
Nature communications2020Vol. 11pp. 1-12
24
benedetti2020anature
Abstract
Correlation network inference is typically based on the significance of the correlation coefficients, but this procedure is not guaranteed to capture biological mechanisms. Here, the authors develop a cutoff selection algorithm that maximizes the overlap between inferred networks and prior knowledge.