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Error bars in each plot represent S.D. Statistical analysis was carried out and P-value was calculated using Excel software (Microsoft, Redmond, WA, USA).
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First considering both visual methods (see paler gray color bar in each plot), the mean differences between the two visual methods are 4.7 degrees for t 1 Figure 11a and 5.4 degrees for t 2 Figure 11b.
A detailed look at these figures reveals that for largely divergent trees (that is, b=0.1, the last bar in each plot), EMtree is the best quartet input method among those considered here, as its results outperform NJ and ML for both QuartetSuite and QFIT and in all tree topologies.
The latter results are illustrated by the three rightmost bars in each sub-plot of Fig. 4A.
More importantly, we conducted each experiment in duplicate and show the error bars (average deviations) in each plot.
There are still overlaps between the green, yellow and peach bars in the plot using the BLAST-based alignment.
The bars in the plot represent the work (expressed as Δ Energy) done while increasing force (i.e. pulling; filled bars) or decreasing force (i.e. relaxing; open bars) during the experiment.
The bars in the plot indicate the average F1-measure (harmonic mean of precision and recall) of predictions made by all five methods for diseases with neighborhood homophily in the given range.
Variabilities of the electric field in each time interval are indicated by error bars in the comparison plot.
The error bars in the substrate velocity plot represent the S.D. of each data point.
will cause any new fit plots to use logarithmic scaling for the X axis, draw the model using a green line, and use the capped style for drawing the error bars in the residual plot.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com