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For every protein the negative logarithm of E-value of the most significant match was calculated (imposing a maximum score of 15 for highly significant matches).
When a given SMS message did address one of the patient's reasons for non-adherence, the magnitude of the SMS message effect or "β(match)" was calculated as a multiplicative improvement in the relevant α(barrier).
In case of homologous proteins having similar MOWSE scores, we gave preference to proteins with best matched theoretical and experimental p I. False-discovery rate (FDR) [ 21] for the peptide search match was calculated using a decoy database (http://www.matrixscience.com/help/decoy_help.html).com/help/decoy_help.html
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The identity and continuous match are calculated from the alignment.
The plot of percentage identity between protein matches was calculated by BLAST.
To verify the covariate balancing after the propensity score matching, the standardised difference before and after the application of the propensity score matching was calculated.
All output files were searched against the forward and reversed IPI mouse database separately, and FDR for all peptide-to-spectrum matches was calculated as FDR = # of False peptides/(# of True peptides + # of False peptides).
The process is repeated for each original polymer and the fraction of correct matches is calculated.
The percent of cells (locations) matched is calculated as a performance measure.
Differences in NRS scores between the responders and non-responders before and after age and gender matching were calculated using the unpaired t-test.
The value of the expected number of matches is calculated using the analysis of repeating hash response presented for replay attack in Section 5.1 and it is calculated as 1011/2 l.
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