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. 2010 Apr 20;11:197. doi: 10.1186/1471-2105-11-197

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Copyright ©2010 Ryan et al; licensee BioMed Central Ltd.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Effect of the number of axes used on the accuracy and runtime of BPCA (ESP dataset). Impact of choice of value for the number of axes on the imputation accuracy (in terms of correlation) and runtime of the BPCA approach. Accuracy of LLS is shown for comparison, with K = 20. Running time is averaged across twenty runs. Note that these experiments were run on a 20 core machine with 128GB RAM, using all cores at 100%. Computation time on a standard desktop machine would therefore take substantially longer.