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To confirm stage conversion to bradyzoites, the RNA expression of three marker genes was also followed throughout the experiment.
A bootstrapping resampling technique was used to obtain robust estimates of expected future performance of the three marker panels in predicting CDR 0 versus CDR>0.
Among the shared markers, we detected only one marker pair with significant recombination heterogeneities at α≤0.01 and another three marker pairs at α≤0.05.
As expected, all three marker genes showed stronger pathogen-responsive expression in the more resistant Bay-0 accession than in Shadhara (Figure 5).
All possible three marker classifiers are explored using this new list of the best two-marker classifiers, again saving the best thousand of these.
The amplification profiles of the three marker systems resulted in differences in the detected banding patterns.
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Calus and Veerkamp [ 27] used simulated data to investigate the performance of three marker-based models in multiple-trait analyses.
Within the AMP-IL, the analyses were done using the three marker-sets available: SSR, SNP and SSR + SNP.
Genomic DNAs of five rice lines (three marker-free MucoRice-CTB lines, 50A, 51A, and 55A; two Nipponbare WT lines, WT1 and WT2) were sequenced by NGS.
To account for varying substitution rates between different loci and nucleotide positions, three marker-specific partitions under the GTR+G+I substitution model were set.
Data analysis with a three-marker panel (BAT26, NR21 and NR27) was comparable in sensitivity (97.4%) and positive predictive value (96.5%) to the five marker panel.
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