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. 2020 Oct 12;61(4):617–618. doi: 10.1007/s13353-020-00589-x

Correction to: The application of deep learning for the classification of correct and incorrect SNP genotypes from whole-genome DNA sequencing pipelines

Krzysztof Kotlarz 1, Magda Mielczarek 1,2, Tomasz Suchocki 1,2, Bartosz Czech 1, Bernt Guldbrandtsen 3, Joanna Szyda 1,2,
PMCID: PMC7852951  PMID: 33044661

Correction to: Journal of Applied Genetics (2020).

10.1007/s13353-020-00586-0

The original version on this paper contained an error. Figure 5 was published with the same image of figure 4. The correct figure 5 is presented here. The original article has been corrected.

Fig. 5.

Fig. 5

Classification of validation data by the different algorithms, based on the probability cutoff thresholds estimated for the F1 or SUMSS metrics. The numbers above columns represent TP—percentages of true positive results, TN—percentages of true negative results, F1—values of the F1 metric

Footnotes

The online version of the original article can be found at 10.1007/s13353-020-00586-0

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