BioinformaticsApplied SciencesPeer-reviewed
Partition Quantitative Assessment (PQA): A quantitative methodology to assess the embedded noise in clustered omics and systems biology data
Diego A. Camacho-Hernández, Victor E. Nieto-Caballero, José E. León-Burguete, Julio Augusto Freyre-González
The paper introduces a method to quantify noise in clustered biological data using autocorrelation.
DOI 10.3390/app11135999