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A DN was generated where a node represents a disease and an edge between two diseases indicates that both share at least one associated pathway.
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The ∼92% one-way overlap between the two disease compendia indicates the validity of MalaCards' naming procedure.
For the text mining, we could not ensure that the number of found literature from the mining of any two diseases directly indicates the associations between these two diseases.
Significant deviation of read counts between two alleles indicates allelic binding preference for the unique TF.
If p(d′) is close to p(C), then d′ is not very different from the control set, whereas a value p(d′) that is close to p(d) indicates similarity between the two diseases.
The largest value (0.123) indicates the strongest indirect effect between the two diseases (corresponding to Q14232, see Table 1).
A higher score on these two indices indicates higher disease activity and disease damage.
This review also discusses the potential impact of treatments indicated for cardiovascular disease on chronic obstructive pulmonary disease and possible links between the two diseases.
Table 2 indicates that 16 genes were involved in extensive signaling transduction in both the CRC and AD networks, and all were inversely expressed between the two diseases.
Other biologists suggested the link hinted at an unsuspected common biology between the two diseases.
There are also other differences between the two diseases.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com