Your English writing platform
Discover LudwigSuggestions(5)
Exact(1)
In this study, we propose a framework to address this problem in a principled way, with the underlying hypothesis that complex disease operates through multiple connected genes.
Similar(59)
Overlapping clusters could be formed permitting one gene node to span multiple clusters while some sparsely connected genes could be excluded from all clusters.
Multiple genes from the IPA and EpiMod networks were found among these 579 genes, including the highly connected genes CD86, IL19, OSCAR, TRAF3IP2, FAS, PIK3R1, IFNG, IL1RN, and ISG20.
The relative importance of highly connected genes is not evident.
Each module contained clusters of connected genes.
When multiple experimental gene expression data were used, the cost of each path was then defined as the summation of average P value of connected genes in the optimization problem.
Interestingly, yeast studies have shown that highly connected genes in a genetic network tend to be pleiotropic and multi-functional (Costanzo et al., 2010), similar to plant hormones which regulate multiple processes.
Highly connected genes in each functional group are given.
After network construction, highly connected genes are clustered into modules.
Briefly, we used the 2001 most varying and connected genes.
The resulting SEM network contained 475 edges connecting genes, and 468 edges connecting eQTL to genes.
Write better and faster with AI suggestions while staying true to your unique style.
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