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In step one, we assessed likely causes for the cluster-signals by looking for significantly higher proportions of specific hospital discharge diagnoses (e.g., Legionnaires' disease [19], [20]).
We evaluated how many LRI-clusters were detected in 1999 2006 and assessed likely causes for the cluster-signals by looking for significantly higher proportions of specific hospital discharge diagnoses (e.g. Legionnaires disease) and overlap with regional influenza elevations.
GO enrichment analysis of functional significance terms in the GO database was applied (Fisher's test, p < 0.01) to map all DEGs to terms in the GO database, looking for significantly enriched GO terms in DEGs compared to the genome background.
In gene expression profiling analysis, GO enrichment analysis of functional significance applies a hypergeometric test to map all DEGs to terms in the GO database, looking for significantly enriched GO terms in DEGs comparing to the genome background.
The GO enrichment analysis of the functional significance applies a hypergeometric test to map all of the differentially expressed genes (DEGs) to terms in the GO database, looking for significantly enriched GO terms in the differentially expressed genes compared with the complete genome.
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Within this remaining set we looked for significantly stable secondary structures, which are displayed by many known functional ncRNAs.
For pathway enrichment analysis, we looked for significantly enriched metabolic pathways or signal transduction pathways in DEGs comparing with the whole genome background.
For pathway enrichment analysis, we mapped all differentially expressed genes to terms in the KEGG database and looked for significantly enriched KEGG terms compared to the genome background.
For pathway enrichment analysis, we mapped all differentially expressed genes to terms in KEGG database and looked for significantly enriched KEGG terms compared to the genome background.
We looked for significantly enriched gene categories in primate and rodent LHF genes in the Gene Ontology (GO) database (http://www.geneontology.org/) (Ashburner et al. 2000).
Planned comparisons revealed that horses looked for significantly longer when all the information was visible, compared to when the ears or the eyes were covered (P < 0.01).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com