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We clarified these preferences by identifying groups of participants who shared similar viewpoints regarding local landscapes and their changing purpose.
Haplotypes were assigned by identifying groups of shared major alleles from the previously defined putative haplotypes.
The objective of this exploratory analysis was to characterize response in bipolar disorder by identifying groups of patients with similar manic symptom response profiles.
Alternatively, gene co-expression module analysis attempts to study combined effects by identifying groups of genes that are coordinately expressed [ 21, 25– 27].
We have extended and expanded prior studies on these biologically plausible candidates and confirmed key roles for variation around two of the loci studied by identifying groups of strongly associated polymorphisms.
The incorporation of data from high-throughput molecular profiling technologies, such as gene expression microarrays, can better define a disease by identifying groups of genes that respond to or covary with disease-associated traits.
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Gene co-expression analysis attempts to study the combined effects by identifying group of genes that are concordantly expressed, which may unveil the underlying molecular mechanisms of a disease [ 20].
Examples of studying spammer behavior include spotting multiple User IDs for the same author [13] and identifying groups of spammers by studying their behavioral footprints [14 16].
After an in-depth reading and rereading of the transcripts, initial coding (conducted by TK) identified groups of meaning within the text.
The module attempts to identify parts of common and biologically coordinated mechanisms or processes that govern coherent cellular outcomes and that could be characterized by the identified groups of preferential interactions.
The method offers a means by which to identify groups of localities, at a variety of spatial scales, whose isolates evolve together out from a local common ancestor.
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