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A regression analysis comparing cluster incidence and daylight hours was highly significant (P = 0.0002).
Odds ratios (95% CI) were calculated, comparing cluster membership for country of care, pregnancy characteristics, birth experience and outcomes.
By comparing cluster pairs 1 vs. 3 and 1 vs. 4, we observed a significant loss of genetic diversity.
Logistic regression was used to compute maximum-likelihood estimates of odds ratios (ORs) and 95% confidence intervals (CIs) comparing cluster members with and without drug resistant isolates.
This table supports the same conclusions as those drawn with the previous discretisation: high categories of duration appear to carry a greater risk than high categories of intensity (e.g. comparing cluster 9 and 10).
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Given that recently there has been a remarkable increase in the analysis of data with naturally overlapped clusters, this new index allows to comparing clustering algorithms correctly.
Comparing clusters from three Neotyphodium species and E. festucae allowed us to determine which Epichloë ancestors are the most likely contributors of LOL in these asexual species.
*, indicates hypergeometric p-value ≤ 5 × 10−6 comparing cluster-specific C/EBPβ co-occupancy to the average co-occupancy across all clusters for the DMI-negative condition.
Next, we compared global chromatin state dynamics between expression clusters by calculating the P-value of differences in state enrichment levels between time points in each cluster, averaging these P-values within clusters, and comparing cluster-averaged P-values.
By comparing clusters of miRNAs in multiple species and accounting for their orientation, we can identify potential transcriptional units.
Such a loss of genetic diversity was significant when comparing clusters 1 ('Iran-Caucasian') and 3 ('North Mediterranean Basin') and clusters 1 and 4 ('South Mediterranean Basin').
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com