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ROKUの高速化(R) script of grsb 2007 009

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Figure 1. Calculation of outlier vectors using different parameter settings for hypothetical input vector
Figure 2 shows the average percentage of  detected outliers for various values of N max (Figure 2a) and k (Figure 2b) when actual gene  expression vectors for 36 normal human tissues  (Ge et al
Figure 3 shows the results of the “leave-one-out  outlier detection” (LOOOD) analysis for the  hypothetical vector using (a) the AIC-based method  and (b) Sprent’s method, with the default parameter  settings (N max  = k = 5)
Figure 4 shows the LOOOD results for actual  data using (a) the AIC-based method and (b)  Sprent’s method

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