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Gene Trail is an advanced gene set enrichment analysis tool that determines over-represented gene ontology categories in data sets [13].
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Linking intent to SA-driven pictures of the environment requires more than simply creating an "intent" category in data analysis.
Sichuan province could well be placed in more categories if data were available on individuals with arsenicosis.
In supermarkets, each product was nested by product category (135 categories in our data), and hence, our product-level data set had a 2-level structure (i.e., between-category and within-category variations in healthiness).
ICD-10 codes in NACRS/DAD data, RAI-Mental Health (MH) assessment items, and DSM-IV provisional diagnostic categories in MHRS data were used to identify adverse events.
The hypergeometric test statistic was then used to obtain the over-representation of particular functions or categories in the data of miRNA targets predicted by TargetScan 5.1 as compared with all the EST data.
We begin by introducing the categories in which data can be classified.
In focused coding, we looked for the most frequent or significant initial codes to "develop the most salient categories" in the data corpus which "requires decision about which initial codes make the most analytic sense" (Charmaz 2006a, p. 46, 57).
Consistent with this model, downregulated GO categories in our data include several involved in protein turnover including endoplasmic reticulum/ER, isomerase activity, amino acid derivative biosynthesis, proteasome core complex, and protein positioning and transport.
Beliefs about consequences fell into two categories in our data.
We used an interpretative approach by analyzing thematically to identify patterns and categories in the data [ 59- 61].
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