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We estimated stationarity of the Markov chain by plotting the sampled log likelihood scores versus generation time.
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The functional sources of dissolved ions can be broadly assessed by plotting the samples, according to the variation in the ratio of Na+/(Na+ + Ca2+) and Cl−/(Cl− + HCO3 −) as a function of TDS (Gibbs 1970).
Out of the 6 samples with SDGs between (−0.53 and −1), 3 samples (ENYA, HARP and PIANO) have compression ratios 2 to 4 times higher than MP3 and AAC and 3 samples (ACDC, HARPSICHORD and TUBULARBELL) have comparable compression ratios with moderate SDGs. Figure 6 shows the comparison of all three coders by plotting the samples with their SDGs in -axis and compression ratios in the -axis.
Rarefaction curves were obtained by plotting the sample sizes versus the estimated number of genera.
The concentration of TNF- α was determined by plotting the sample reading against the standard curve.
Two poorly performing samples were identified by plotting the sample call rate against the 10% GeneCall score.
Samples that performed poorly were identified by plotting the sample call rate against the 10%GeneCall score.
Third, the COP complexity index was calculated by plotting the sample entropy of each coarse-grained time-series as a function of time scale, and then calculating the area under the resultant curve [ 28].
A PCA scatterplot of samples (scoreplot) was formed by plotting the plasma samples in the first two coordinate axes (PC1 and PC2) of the PC space.
This conclusion was also supported by plotting the 28 samples with respect to the first two principal component axes calculated from FPKM values (Additional file 2g).
We confirmed that analyses reached stationarity well before the burn-in period by plotting the ln-likelihood of the sampled trees against generation time.
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