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To identify similarities in tissue gene expression between pig and human we computed Pearson's correlation coefficients for pairs of common tissues across these two species.
The co-expression value between two pathways was measured by combining Jaccard coefficient (JC) and overlap coefficient (OC) defined as: (7) J C = E 12 E 1 + E 2 - E 12 and O C = E 12 min (E 1, E 2 ) Where E 1 and E 2 denote the number of tissues in which pathway 1 and 2 are expressed, respectively, and E 12 denotes the number of common tissues where both pathways are expressed.
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The lower operation limit of common tissue equivalent proportional counters (TEPCs) is about 0.3 μm in simulated site.
In order to directly compare gene coexpression networks of different species, a set of orthologous genes expressed over a set of common tissue samples was analyzed.
As such platform-dependent bias can compromise the data quality; we reasoned that a consolidated list of common tissue-specific genes might yield more reliable results.
To test the effects of common-tissue TFs on subpathways in a general sense, we calculated the Jaccard coefficient for pairs of common-tissue TFs.
Furthermore, comparisons of gene expression in a panel of five common tissues between birds, mammals and amphibians showed that the expression patterns across tissues are highly similar for orthologuous genes compared to random gene pairs within each pair-wise comparison, indicating a high degree of functional conservation in gene expression among terrestrial vertebrates.
We found a very significant overlap between our results and these of Nagae et al, for five out of six common tissues between both studies.
By applying co-expression-based methods to the expression data of 26 common tissues between humans and mice, i.e. the same data used by Liao and Zhang's method, a maximum agreement between corresponding tissue based methods and co-expression based methods can be estimated.
However, the use of all tissues may reduce the power for tissue-type TF pair identification, since the contents of tissue TF pairs and even the function of a common tissue TF pair may be different between tissues of the same type.
For each of those common tissue types, we determined the number of nodes common to both PPI networks and the number of common house-keeping and tissue-specific nodes and determined the extent of overlap of nodes of a certain type between the two datasets.
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