Figure 8.

Effect of the number of axes used on the accuracy and runtime of BPCA (Signalling 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.

Ryan et al. BMC Bioinformatics 2010 11:197   doi:10.1186/1471-2105-11-197
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