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Marker performance also appeared to vary with stage the MUC16/WFDC2 combination marker correctly identified 39% (9/23) of Stage I cases, 75% (3/4) of Stage II cases, 87% (34/39) of Stage III cases and 100% (5/5) of Stage IV.
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A classification model using only Coh-Metrix indices found language markers correctly classified participants in nearly three-fourths of cases.
Since the internal markers perfectly correspond to the buildings, the external markers correctly surround every internal markers.
Those markers correctly distinguished 85% of BC patients with or without BM from normal individuals.
Interaction analyses were only performed for autosomal markers because the current software versions do not handle chromosome X markers correctly.
Megascaffold 2 for instance has 592 markers correctly mapping to LG 6 using the unmasked genome as a reference, but also has 141 markers in the other LGs.
However, none of the models were able to identify the large-effect markers correctly from 808 markers, leading to lower accuracies with 808 markers compared to 42 QTL-linked markers.
With eight half-sibs per family, R and the number of markers correctly imputed ranged from 0.84 and 82% with 1250 markers to 0.95 and 80% with 10 000 markers.
Independently constructed de novo linkage maps were compared with the POPSEQ-based map for the number of markers correctly assigned to their respective linkage groups, and the linear relationship of marker order between de novo and POPSEQ maps.
The proportion of markers correctly imputed and correlations between true and imputed genotypes for different values of D are in Figure 1a, and the correlations for different values of T and MAF thresholds are in Figure 1b.
In a set of 24 pigmented lesions that were originally misdiagnosed as being either benign or malignant, the pattern of staining of these five markers correctly classified 18 of the 24 lesions (75%).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com