On the other hand, when the true model involves interaction parameters (Supplementary Figure 25), this does not generally appear to generate an apparent imprinting effect (apart from when using logistic regression) but the estimates of R1, R2, and S1 are again altered.
These processes are each represented in a relatively simple mechanistic way, but in combination result in a fairly complex model involving multiple interactions.
Together, our results unveil a step-wise model, involving TET OGT interactions, promotion of GlcNAcylation, and influence on H3K4me3 via SET1/COMPASS, highlighting a novel means by which TETs may induce transcriptional activation.
Because learner model negotiation involves interactions such as challenging the model or (dis)agreeing with it, we include systems that do not have the interaction symmetry of fully negotiated learner models.
These results led to a combinatorial, conditional genetic model, involving an interaction between C5 and C1r/s alleles, which accurately predicted survival after infection.
Those based on the theoretical work by Becker et al. (2000) and Prieto et al. (2000) are in the following termed "Becker" model, they are compared to calculations using a "regular", and in case an ideal model (involving no interaction parameters).
Our data support the pore-formation model involving sequential interaction with different midgut proteins, leading to pore formation in the target membrane.
While such model involves less interactions, it lacks the flexibility, openness, and role specialization achieved by the three-tier architectural model.
However, when the model involves multiple interactions among players (IPD), strategies that are cooperative but capable of retaliating against cheating can out-compete cheating strategies (e.g., the well-known TFT).
