Bayesian genome scale modelling identifies thermal determinants of yeast metabolism.

The principal component analysis applied to the 21504 parameter sets generated in the approach showed a clear trend of how the Prior distributions were gradually updated to distinct Posterior distributions, despite the first two components explaining less than 2% of the total data variance (Fig. 2d ).

also in 19,460 other papers