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Prediction accuracy for different genotype missing data imputation methods, SNP calling strategies and missing data thresholds.
Averaged across the six missing data thresholds and RFI, the accuracy gain obtained by joint SNP calling was 10.1 and 6.4 % for PV and Me populations, respectively.
Three different versions of the SRRW GBS data, described in Table 1, were created based on different per-marker percent missing data thresholds.
SNP calling for PV and Me was envisaged either separately (data sets PV_Sep and Me_Sep), or jointly followed by application of missing data thresholds to separate populations (data sets PV_Joint and Me_Joint).
This method performed slightly better than, or comparably to, any other method, with the exception of the data set PV_Sep for the missing data thresholds 0.20 and 0.30 (Fig. 3).
SNP number, however, remained relatively high even at a fairly stringent missing data thresholds, e.g., over 11,000 for the population Me and 7000 for PV at the 0.20 threshold.
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Source data in the data set passed the quality control; the control content included format checks, missing data checks, threshold checks, major range checks, internal consistency checks, comprehensive analyses of quality control, and data quality mark.
Using a maximum missing data (MMD) threshold of 25% in the RIL population for each locus, a total of 1,765 SNP loci were finally recovered.
We then performed filtering; first, in order to avoid inter-population biases in missing data, we defined a threshold of at least three genotypes called per population sample.
For each gene, codon sites showing a proportion of missing data above the arbitrary threshold site_p were discarded.
The programme of research should address the level of habituation required to cardiopulmonary exercise testing in this patient population to prevent missing data for the anaerobic threshold because of pre-test hyperventilation.
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