| A signalling entropy derived prognostic score outperforms microarray based prognostic indicators in lung adenocarcinoma | This resulted in a small set of 29 genes, 8 of which were negatively correlated with signalling entropy and 21 of which were positively correlated (S4 Table). |
| A signalling entropy derived prognostic score outperforms microarray based prognostic indicators in lung adenocarcinoma | An SE score was then defined again as the t-statistic evaluating the hypothesis that the positively correlated genes are expressed more highly than the negative. |
| Signalling entropy’s prognostic power in breast cancer can be represented by a small number of genes | This resulted in a small set of 81 genes, 10 of which were negatively correlated with signalling entropy and 71 of which were positively correlated 82 Table. |
| Signalling entropy’s prognostic power in breast cancer can be represented by a small number of genes | A Signalling Entropy prognostic score (SE score) was then defined as the t-statistic evaluating the hypothesis that the 71 positively correlated genes are expressed more highly than the 10 negatively correlated genes (after z-score normal-ising the data). |
| Signalling entropy’s prognostic power in breast cancer can be represented by a small number of genes | This gene list was slightly shorter than for the discovery set (55 genes, 34 positively correlated and 13 negatively correlated with signalling entropy) but had an overlap of 4 genes, significantly more than would be eXpected by chance (p = 0.012, based on re-sam-pling size matched sets of prognostic genes and assessing overlap). |
| Supporting Information | Genes are separated into those found to positively correlate With signalling entropy and those negatively correlated. |
| Supporting Information | Genes are separated into those found to positively correlate With signalling entropy and those negatively correlated, the genes Which overlap With the discovery set derived set are highlighted in yellow. |
| Supporting Information | Genes are separated into those found to positively correlate With signalling entropy and those negatively correlated. |
| Correlations between relative abundances tell us absolutely nothing | 2: while their absolute abundances over time are strongly positively correlated , if someone (inappropriately) used correlation to measure the association between the relative abundances of these two mRNAs they would form the opposite view (Fig. |
| Proportionality is meaningful for relative data | We calculated gb for the relative abundances of all pairs of mRNAs and compared it to the correlations between their absolute abundances (S4 Fig): clearly, the absolute abundances of most mRNA pairs are strongly positively correlated ; far fewer are also strongly proportional. |
| Supporting Information | The few mRNA pairs that are strongly proportional (within the red rectangle) are also strongly positively correlated . |
| Supporting Information | However, the converse is not true: strong positive correlation between mRNAs does not imply that they are strongly proportional. |