• Corpus ID: 244799707

Extraction of diverse gene groups with individual relationship from gene co-expression networks

@inproceedings{Azuma2021ExtractionOD,
  title={Extraction of diverse gene groups with individual relationship from gene co-expression networks},
  author={Iori Azuma and Tadahaya Mizuno and Hiroyuki Kusuhara},
  year={2021}
}
Motivation: Modules in gene co-expression networks (GCN) can be regarded as gene groups with individual relationships. No studies have optimized module detection methods to extract diverse gene groups from GCN, especially for data from clinical specimens. Results: Here, we optimized the flow from transcriptome data to gene modules, aiming to cover diverse gene–gene relationships. We found the prediction accuracy of relationships in benchmark networks of non-mammalian was not always suitable for… 

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