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In baySeq, two differential expression models, one for population, the other for sex, were taken into account when estimating the posterior probabilities for all genes to be differentially expressed.
Similar to above, I quantified two morphological divergence vectors, one for the population effect (population divergence vector) and one for the treatment effect (predator divergence vector).
One reason for population growth is people living longer.
One mechanism for population diversification is bet-hedging.
Four parameters were taken into account to generate samples from populations (one for each population).
The minimum number of signals found was two (one locus) for one population of T. parthenium and the maximum was 26 (13 loci) for some individuals of one population of T. tabrisianum (although most T. tabrisianum had eight loci, see Fig. 2n).
Finally, we studied intersexual activity in two additional terraria (one for each population), by placing 10 individuals per population (5 males and 5 females) together.
We generated 13 DNA pools (one for each population), which included all the samples available for each population group (the data analysis procedure is explained in the Additional file 1).
In this 'double limit', the theorems by Kurtz describe the connection of taking the number of neurons per population to infinity yielding a system of ordinary differential equation, one for each population.
Different models of population dynamics can be applied, and here we use the one for logistic population growth with discrete generations.
The polynomial distributed lag curves restricted to the elderly population were similar to the ones for the whole population (data not shown).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com