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Frequencies of each candidate triplet in RTP i were counted in all promoters and non-promoters in training_data k; their minimum frequency value was then considered as the frequency of the particular RTP i. Observing both promoter and non-promoter sequences in each training_data k, each RTP i had two frequency values, defined as X 1 and X 2, respectively.
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One of the advantages of the above ranging method is that one does not need the actual magnitude of the frequency shift, only the time of the maximum and minimum frequency values.
We used a Pcrit value (the minimum frequency at which alleles were included in the analysis) of ≥0.05 (Waples and Do 2010) as the cutoff point in our analyses.
These values correspond to the minimum frequency of the lowest allowable SW modes propagating through the respective waveguides.
When several values were reported in a species for a particular trait the largest maximum frequency and duration, and the smallest for minimum frequency were used for the analyses [see values in bold in Additional file 7].
Further analysis of spectral traits showed that excess attenuation values were mainly affected by minimum frequency and peak frequency, while blur ratio variation was predominantly affected by bandwidth, and signal-to-noise ratios were predicted by bandwidth and peak frequency.
In addition, the selected AUD calls had duration, DF, maximum frequency, minimum frequency and bandwidth within ±1 SD of the mean values of all the audible calls.
Marker data were assigned to LG using a minimum logarithm of odds ratio (LOD) score of 6.0, and a recombination frequency value of 0.3.
The minimum frequency is two times a week.
Minimum frequency.
No minimum frequency criteria was applied.
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