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Compared with the existing two-time method, the boundary-constraint method constructs the VSF from a single velocity dataset at a given time instead of a time series of velocity fields starting from a simple condition.
Under the null hypothesis of no true GSE, the type I error rate, or proportion of false-positive results, for a dataset at a given threshold α is the proportion of gene sets with P-value less than α.
The t score from the pseudopopulation that corresponded to this Type I error rate was compared to that obtained from the original dataset at a given electrode and frequency band; if the t score from the original dataset was more significant than the t score generated by the pseudopopulation, we considered the original dataset to be significant (randomization test, p < 0.001, df = 11).
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Basic Local Alignment Search Tool BLASTT) searches of the SRA data are possible, but only by selecting a single SRA dataset for a given organism at a time.
The success of GS depends on many factors [ 1, 2], some of which cannot be easily controlled, such as linkage disequilibrium (LD) between markers and quantitative trait loci (QTL), the size of the training dataset, and marker densities at a given cost.
Depending on the size of the dataset and the inherent variation of samples, datasets produced graphs of varying sizes at a given correlation threshold value.
It is important to note that outside the U.S., growing areas refer to active aquaculture and harvesting locations, whereas our dataset indicates the suitability for aquaculture at a given estuary.
Even high quality datasets contain errors where at least one allele at a given locus does not match with what we expect from the Mendelian laws.
Actually, each array represents a cut at a given simulation time of the whole dataset of results.
Again the expression level for a given gene at a given stage was normalized against the RNA-seq dataset size.
Each resulting dataset contained the signal intensities associated with all 9 replicates of the 297 peptides from a given individual at a given time point.
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