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Because the short read data varies in different replicates, a function will gain different evidence values and might be filtered differently.
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A genetic “program†consists of a combination of genetic circuits, each of which uses biochemistry to replicate a function analogous to an electronic circuit (e.g., a logic gate).
The relative success of a parasite that replicates is a function of the costs of replication, the strength of competition from these related (kin) parasites and the proportion of non-kin in the host.
For clustering analysis, the correlation coefficient (ρ=0.9) between two biological replicates as a function of time was used as a threshold to remove genes that exhibited variability between replicates.
For that purpose, we plotted the standard deviation of each set of five replicates as a function of their mean signal intensity.
In Figure 1C, we plot the mean divergence between the true and estimated admixture proportions, over multiple replicates, as a function of resolvability.
While the data within this figure show only one technical replicate of each treatment level, similar histone H4 proteoform PTM patterns were seen in all 42 individual technical replicates as a function of treatment level.
While this continuum in gene expression levels was confirmed in our study (Additional file 1: Figure S1), we found that CV analysis of replicates as a function of gene expression can identify global patterns of gene expression and regulation.
We approximate the fitness reward for each replicate as a function of the arrival time that steps down from one to zero after a time limit.
Often the choice of the number of biological replicates is not a function of statistical considerations, but economic ones.
In addition, replicate number is a function of technical variance, which is also experiment-specific and difficult to model in a generalized format.
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