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Fig. 3 | Genome Biology

Fig. 3

From: KAML: improving genomic prediction accuracy of complex traits using machine learning determined parameters

Fig. 3

The comparison of computing performances (in seconds) of LMM (red), BSLMM (yellow), BayesR (violet), and KAML (blue) for cattle, horse, and maize datasets. The y-axis represents the computing time in log10 scale. Computing performance tests were performed in a Red Hat Enterprise Linux sever with 2.20 GHz Intel(R) Xeon(R) 132CPUs E7-8880 v4, and 2 TB memory. The computing time records are corresponding to the experiments described in Fig. 2. The computing performances of BSLMM and BayesR methods were tested using their default settings

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Genome Biology

ISSN: 1474-760X

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