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Assumed that genes encompassing particular metabolites pathways display environmentally reliant co-regulation, we supposed that genes participated in a specified metabolites biosynthesis pathway are arranged in strong relations (modules) in gene coexpression networks, accelerating their discovery (Wisecaver et al. 2017).
We also infer differentiation pathways and predict functional modules in gene expression data of lymphoid development.
We calculated activity scores for the eight modules in gene expression data representing 51 breast cancer cell lines [ 50].
Next, we analyzed the preservation of the caudate nucleus network modules in gene expression datasets of other disorders.
In [ 8], the authors utilize random walk and network community analysis for the identification of cancer-associated modules in gene expression data.
The WGCNA modules are highly similar to the anchored modules in gene content, suggesting that the discovered co-expression structure is robust to different algorithms (data not shown).
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Over-represented gene modules in genes interrogated in the NCI 60 project (gene expression matrix G) were detected by a fitting to a hypergeometric distribution (see Supporting Text S1 for details).
Also, a similar philosophy could also be applied to improve the detection of modules in gene-set enrichment methods although it falls beyond the scope of this manuscript.
Locally developed programs, TraFaC and CisMols, were used to identify and display putative regulatory modules in genes grouped by patterns of expression.
Taken together these data provide valuable guidance to the design of experiments that seek to identify regulatory modules in genes with specific patterns of expression.
Our approach enables a systematic study of inter-module relations beyond the identification of single module in gene regulation.
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