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A loop-counting method for covariate-corrected low-rank biclustering of gene-expression and genome-wide association study data

Fig 5

Illustration of bicluster found within gene-expression data-set.

Both panels illustrate the same submatrix (i.e., bicluster) drawn from the full case-matrix shown at the top of Fig 4. This bicluster was found using our control-corrected biclustering algorithm (described in section of S1 Text). In Panel-A we represent this bicluster using the row- and column-ordering given by the output of our algorithm. This ordering has certain advantages (see section of S2 Text), but does not make the co-expression pattern particularly clear to the eye. Thus, to show this co-expression more clearly, we present the bicluster again in Panel-B, except this time with the rows and columns rearranged so that the coefficients of the first principal-component-vector change monotonically. As can be seen, there is a striking pattern of correlation across the 793 genes for the 45 cases shown.

doi: https://doi.org/10.1371/journal.pcbi.1006105.g005