We sought therefore to use our microarray data to provide an independent estimate of the total number of Tetrahymena ORFs that are transcibed in any of the 3 major physiological/developmental stages of the Tetrahymena life cycle.
Clearly access to community care dramatically impacts the experience of the last year of life and these data would be useful to complement our hospital data to provide a more comprehensive overview of dying in NSW.
Our study used these data to provide a genetic distinctiveness score of each sample as described below.
The used data model was simpler than the one we adopted, but enabled a subset of our data to be provided.
For 2000 we intensified our data collection to provide data to update and develop new clinical retrieval searching hedges for MEDLINE, PsycINFO, CINAHL, and EMBASE using methods described by Haynes and colleagues[ 13].
We chose the mixed-model framework for our data analyses to provide suitable sensitivity and specificity for our comparison of genetic architecture across defined, factorial, controlled stress environments.
Thus, our data fail to provide any support for the involvement of circulating PRL in clutch size determination.
Esler clarified his position to me, explaining that "we provide our data to companies in order to use their products," and that this model is pretty much unavoidable.
9 10 37 38 Our data also provide further evidence to support integrated person-focused and community-focused interventions.
