Figure 1.
Performance of KEREN on two data sets of different size.
(A) Comparison of recall (blue line) and precision (red line) for cDNA microarray data set versus K, the initial number of selected neighbors, for fixed value of P = 10. (B) the same as (A) for Affymatrix data set. (C & D) An effect of the proposed assignment procedure (parameter P) for the cDNA and Affymatrix data set, respectively. K is equal to 5 in this case. Dashed lines correspond to the performance when operons are accounted for.
Table 1.
Performance Comparison.
Table 2.
Comparison of KEREN with SIRENE.
Figure 2.
Performance of KEREN using Laplacian kernel.
(A) Comparison of recall (blue line) and precision (red line) for KEREN when Laplacian kernel instead of LLE is derived from the correlation matrix of the Affymatrix data set. (B) Comparison of recall and precision for the Affymatrix data when LLE kernel is constructed from correlation matrix of randomized data.