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A BLASTx against the PlnTFDB (http://plntfdb.bio.uni-potsdam.de/), using a cutoff E-value of <10−6, was employed to identify DEGs that were putative transcription factors.
Using a nomination cutoff of 0.4 (0–1 scale), opinion leaders were identified in 31% of California hospitals; they were identified in 81% of hospitals using a cutoff of 0.2.
A total of 3307 contigs were assembled using a cutoff value of 1 × 10−20.
Hits were identified using a cutoff of <50% residual activity.
This trend is consistent using a cutoff of 2 kb.
We used a cutoff value of >2-fold to be considered over-expressed and a p value cutoff >.05.
The data were filtered using an FIR band pass filter with a low frequency cutoff of 30 Hz and a high frequency cutoff of 1,000 Hz, an IIR band stop filter at line frequency (60 Hz), and the data were smoothed using a smoothing factor of 11 samples using mean value smoothing.
Nonredundant structures were selected using a QH cutoff of 0.2 or an rmsd cutoff of 2 Å.
Hydrogen bond occupancies were calculated using a distance cutoff of 3.5 Å and an angle cutoff of 120°.
Sensitivity analyses were performed using a median cutoff threshold.
Significant pairs were selected using a FDR cutoff of 0.25.
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