10.1371/journal.pone.0039335.g007 Robert Noble Robert Noble Mario Recker Mario Recker Results following dimension reduction. Public Library of Science 2012 immunology Infectious diseases Computational biology mathematics 2012-06-22 00:03:45 Figure https://plos.figshare.com/articles/figure/_Results_following_dimension_reduction_/290225 <p>Left column: target parameters for the (<b>A</b>) 1∶1 and (<b>B</b>) SMS networks reduced from 60 to 16 genes. Right column: MCMC output after adding noise with . To perform the reduction, genes were ranked by their average transcription levels across all time points and all cultures in the data generated by the 60-dimensional matrix (after adding noise). The 16 most highly ranked genes were then selected and their data renormalised. The starter gene parameters are shown in red.</p>