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Within a given term t, finding a nonambiguous constituent for which there is only one possible gender g and number n value implies that all constituents within t must have the same gender g and number n values.
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TF (Term frequency) is used to measure the importance of the term within the particular file, defined as the number of times a given term or keyword appears within a file.
The total number of proteins within a dataset that has been assigned to a given GO term does not necessarily reflect the relative distribution of proteins between different terms, since the number of proteins that are covered by a given term might differ.
Next, a search of the given term within the word mesh produces the term detections and outputs a posterior probability as score for each detection.
The mapping back to posteriors approach relies on the average posteriors of the detections of all the terms except that being detected that are ranked in the same position within the detection list for the given term.
The significance of the enrichment (p-value) was determined by hypergeometric distribution for the probability of finding a set of genes within a given GO term or pathway, in which lower p-value indicated higher potential of non-randomness of the finding.
We also attempted to sample widely within a given clade, both in terms of geographic provinces and known phylogenetic relationships, in order to avoid sampling a geologically young sub-clade.
Such tools will perform deeper analysis, such as detecting enrichment of certain properties (e.g. GO terms) within a given set of genes or calculating consequences given a list of SNP terms.
The conventional modeling approach to conceptual design can find a sub-optimal solution because of neglecting the dynamic changes of economic terms within a given time horizon.
"…way in which a person acts to communicate gender within a given culture; for example, in terms of clothing, communication patterns and interests.
To identity statistically overrepresented Gene Ontology (GO) terms within a given gene set GO was performed using the Gene Ontology Enrichment Analysis Software Toolkit (GOEAST) [34], which compares the ratio between probesets in the ontology sub-categories and all probesets in given dataset to the ratio between probesets in the ontology sub-categories and all probesets on the microarray platform.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com