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The influenza virus N1 and N2 genes discussed below were derived from specimens taken from humans (human sources) or from birds (avian sources).
Regression coefficients used for quantifying enriched metabolites (see below) were derived from solutions of enriched extracts prepared at three dilutions (1 0, 1 1, 1 3) in D2O.
The evidence weights and threshold (described below) were derived from an expert consultation process during the development of the Eco Evidence method (Norris and others 2012).
Gene expression ratios used for the subsequent network analyses described below were derived from individual mutant arrays versus a time-matched wild-type control gene expression array.
The "critical success factors" that follow the case vignettes below were derived from these analyses in an effort to provide concrete guidance to policy makers and administrators (in this case the LHINs leadership) in honouring these principles.
Note that all C. briggsae isolates used for genetic analysis (see below) were derived from independent substrate samples, except for one sample (G2) from which eight C. briggsae isolates were derived from different individuals, immediately after isolation on site (isolates NIC23, NIC28, NIC29, NIC30, NIC36, NIC37, NIC38, NIC40) (Additional file 2).
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[ 14] The baseline percentages for other intermediate outcomes outlined in below are derived from data from the 2008 Scottish Schools Adolescent Lifestyle and Substance Use Survey (SALSUS National Reportt [ 18] and the Health Behaviours of School Children HBSCC) 2010 Scotland National Report [ 19].
The results presented below are derived from genotype frequencies at equilibrium, which I defined as when the percentage change in genotype frequencies between successive generations was less than 10-16.
A. The backbone sequence given below is derived from the predicted amino acid sequence of the potato cyst nematode (Globodera rostochiensis) cellulase Gr-eng-1 (GenBank AF004523), amino acid positions 18 – 324 (mainly catalytic domain).
The model described below is derived from Blanchard and Shleifer's yardstick competition model (Blanchard and Andrew Shleifer 2001).
First, variables were identified through a multivariable logistic regression model after multiple imputation of missing confounders, and then, the score described below was derived from mean of beta regression coefficients and validated by bootstrap (resampling).
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