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Our study therefore suggests rewiring of molecular interactions driven by gene expression changes depending on the conditional needs.
It is interesting that not all motifs are equally important in a given growth environment, and new patterns emerge depending on the conditional needs.
Since each of these motifs is required for a classified function depending on the conditional needs, our objective was to understand how the importance of such network motifs varies with growth conditions.
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This indicates that what looks like a response to secretion stress, may reflect a more general mechanism not only to alleviate accumulation of unfolded proteins in more extreme conditions, but also to modulate secretion capacity in response to the conditional need for extracellular enzymes.
Of course, the mere claim that the language of science can be extensional still proves troublesome enough, given that in such a language a distinction between laws and accidentally true universal propositions cannot be drawn (the notion of a counterfactual conditional, needed to distinguish the former, is an intensional one).
Transcriptional regulation of protein synthesis and secretory pathway genes may thus reflect a general mechanism for modulation of secretion capacity in response to the conditional need for extracellular enzymes.
In Bayesian filtering, the conditional likelihood needs to be known only up to a proportionality factor (see Section 3).
It may also be observed that conditional compatibility need not imply commutativity at the coincidence points.
The remainder conditional probabilities needed to compute P(N 1, p B )) are computed in a similar way.
In the text that follows we describe how to estimate the conditional probabilities needed to compute entropy (i.e., uncertainty) and surprise (see the Supplemental Experimental Procedures).
Thus conditional Ka/Ks need not be limited to cases that fit a "star topology", but can be generalized to work with phylogenetic trees.
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