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To evaluate the strength of co-expression a mutual ranking (MR) value was calculated using the formula MR AB) = (rank(A→B)* rank(B→A))0.5.
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Both of these approaches integrate microarray datasets and calculate the level of co-expression between each pair of genes by a mutual rank (MR) or Pearson correlation score.
In this model, the length of the list does not matter but rather the mutual ranking.
COXPRESdb provides the co-expression data of 20280 human genes including Pearson's correlation coefficient (PCC) of gene expression profiles and a relative correlation index: mutual rank (MR) for each gene [ 32].
Moreover, for co-expressed genes, there is a similar trend between the mutual ranks of gene co-expression and Hi-C interactions (Additional File 8).
Mutual rank (MR) is a geometric average of the PCC rank from gene A to gene B and that of gene B to gene A and is considered a standard measure of the biological significance of gene co-expression.
To measure the similarity between a pair of genes, we employed the mutual rank method, which evaluates the strength of co-expression [46].
Interestingly, coexpression analysis revealed that the GLN2, which encodes a chloroplastic glutamine synthetase, has the highest mutual rank in the coexpressed gene network connected to ACR11.
Since PCC rank between two genes of interest can be different, we introduced another coexpression measure, mutual rank (MR), by taking a geometric average of the PCC rank from gene A to gene B and that of gene B to gene A. The reason why we used 'geometric average' rather than arithmetic average is that we think that the difference of PCC ranks will change as logarithmic manner.
Mutual Rank (MR) values were used to evaluate the correlation between gene A and gene B in ATTED-II.
The three genes having the highest mutual rank (MR) with ACR11 are At5g35630 (GLN2, encodes a chloroplastic glutamine synthetase; MR = 1.0), At1g15545 (encodes an unknown protein; MR = 8.5), and At5g64460 (encodes an unknown protein; MR = 9.2).
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