Words similar to factors
Example sentences for: factors
How can you use “factors” in a sentence? Here are some example sentences to help you improve your vocabulary:
Although implementing a multi-center study may initially appear burdensome, two mitigating factors lessen the burden: (1) randomization is not required and (2) investigators need not collect data on risk factors if the requirements hold.
The precursor of heparin-binding EGF-like growth factor (proHB-EGF) is found on a wide variety of cell surfaces and is present in numerous tissue types [ 1 ] . Previously in our laboratory, we cloned the cDNA encoding proHB-EGF from monkey Vero cells and identified this cell-surface molecule as a receptor for diphtheria toxin (DT) [ 2 ] . The predicted amino acid sequence was shown to be identical to that of the cell surface-expressed precursor of human heparin-binding EGF-like growth factor (proHB-EGF) [ 3 4 ] . The derived amino acid sequence revealed a signal sequence (residues 1-23), an extracellular domain (residues 24-159), a transmembrane domain (residues 160-184), and a carboxyl terminal cytoplasmic domain (residues 185-208) [ 2 ] . Proteolytic processing of the proHB-EGF occurs on the cell surface and results in the release of mature HB-EGF (mHB-EGF) (residues 63-148) [ 5 ] . The mature/soluble HB-EGF is a member of the EGF family of growth factors that includes amphiregulin, epidermal growth factor, and transforming growth factor a [ 6 ] . Mature HB-EGF released from the cell surface is mitogenic and is able to bind to the EGF receptor [ 3 ] . Membrane-bound proHB-EGF has juxtacrine growth factor activity [ 7 ] and also acts as a DT receptor [ 2 8 ] .
She reasoned that there were so many risk factors that should be addressed that some sort of bundling would be necessary.
Despite limitations of the study, including possible errors from self-reporting and lack of data on second-hand smoke and newer measures such as interleukin-6 and high-sensitivity C-reactive protein, the inflammatory markers studied here demonstrated a much clearer trend and longer-lasting effect after smoking cessation than traditional risk factors, and hence were more useful and accurate markers of disease.
We determined empirically, by analyzing large amounts of cDNA array data and testing different combinations of high and low exclusion percentages, that ignoring the bottom 60% and top 10% of signals led to scaling factors that were consistent and well behaved (for example, the mean and median of the resulting distributions were approximately equal).
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