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Seventy-eight of the top 100 models depicted in Figure 1, including the top 48 models, include only a single SNP in addition to the design variables.
While some models include only the moment-by-moment variability discussed above, others include a second source of variability, namely between-trial variability in the strength of the sensory evidence reaching the accumulators.
However, all these models include only metabolic pathways without any information regarding metabolic changes in response to stressors.
The final models include only the variables with a statistically significant association with the outcome variables in the multivariate analysis.
Currently, however, many dynamic models include only the mathematical information required to run simulations, and do not explicitly contain the full biological context.
Although we cannot be certain that we have identified all alternative monocistronic transcripts, currently 181 gene models include only polycistronic transcript isoforms.
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Successful models included only data from those samples which were polymerized to hardness.
Tree height was less important for estimating root biomass, with models including only DBH performing best.
Final models included only valid cases without missing or averaged data (N = 367 to N = 412, depending on the model).
As above, the first models included only student and family characteristics.
Reduced models including only prey variables explained only 34% of the variance in beaked whale foraging.
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