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So far, we have described data scientists, who build mathematical models, and data engineers, who make data available to data scientists as the "raw material" from which mathematical models are derived.
Interestingly, several reports have described data showing the down-regulation of protein trafficking during mitosis.
Most recently, Kelman et al. [ 32] have described data handling protocols for epidemiological record linkage studies which incorporate many of the preceding ideas.
More recently, we have described data suggesting that disruption to a number of elements of a GADD45γ/MAP3K4/p38 MAPK signalling pathway in somatic cells of the newly formed mouse gonad can result in a delay in Sry expression that results in XY gonadal sex reversal (28).
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Paul Smith, head of data at Open fundraising, has described data as "the building blocks of fact and information".
On the other hand, previous one-step rate expressions in the literature have described experimental data reasonably well.
We have described our data sources in detail in the main text, but are not allowed to redistribute these ourselves.
Recent reports have described additional data from camels.
Previous studies have described similar data concerning the administrative demands [ 29].
Previous studies using the WOMBAT software have described task data definitions for nurses and physicians working in general hospital settings [ 13, 15].
On the contrary, no previous studies have described survival data directly in relation to tumor expressed TFPI, but Stavik et al. reported that the gene expression signature resulting from TFPIβ overexpression correlated with relapse-free survival in breast cancer [ 42].
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