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To identify the module associate with docetaxel-resistant status, we regressed each of the 4 module eigengenes on docetaxel-resistant status.
The online tool WebGestalt [ 23] was used to identify the module associated TFs and miRNAs.
Next, we related our five modules to the severity trait to identify the module with the strongest association. Figure 3 shows that the blue module with 299 genes has the highest module significance in (a) all samples (mean GS severity = 0.234, corresponding to a p-value of 0.007), (b) males and (c) females.
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You've got to identify the modules, take them out, make sure the code's all clean.
We will often identify the modules M i with the induced subgraphs G i =G[M i ].
The aim of community detection in graphs is to identify the modules and, possibly, their hierarchical organization, by only using the information encoded in the graph topology.
Before we began to identify the modules, we examined the distribution patterns of gene expression values.
To reveal this information, we need to identify the modules that are always, or almost always, separate from any other module.
We use our knowledge-based generalization method to identify the modules inside the compartments.
We used two state-of-art network clustering approaches [ 25, 26] to identify the modules of diseases-drugs.
We repeated the iterative cycle of sMBPLS to identify the modules one by one, until no further significant gain is achieved on the covariances between input and response variables of the identified modules.
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