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The study also shows the results of three detection methods tested with the same pipeline: a model-based observer, an identification approach and a data driven method.
Figure 12 shows the impact of imaging techniques and processing methods tested with the QA phantom.
Semi-quantitative methods gave a relatively narrow range of accuracy scores across all the methods tested, with a wider range of sensitivities and specificities.
There was a wide range of performance among all the methods tested, with precision ranging between 17.0% and 92.3% and recall between 1.2% and 37.6% (Fig. 2a and b).
The precision of FlowerPower is much higher than the other methods tested, with an average false positive error rate under 3%, though PSI-BLAST and SAM-T2K have better sensitivity.
A set of spectra is created via superimposing a number of MS2 spectra, each can be identified by all search methods tested with high confidence, to mimick the spectra of co-eluted peptides.
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The phylogenetic tree was constructed by the neighbor-joining method, tested with Kimura 2-parameter model and evaluated by 1000 bootstrap pseudo replicates.
Both methods tested correlated with each other and were found to be good and reproducible methods of measuring skeletal sizes.
The test characteristics of the three methods tested compared with the microbiologic comparator are demonstrated in Table 3.
Two direct reagent-free detection methods were tested with Au/polypyrrole/oligonucleotide modified electrodes.
The methods were tested with the other 42 specimens for each parameter.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com