Identification of self-consistent modulons from bacterial microarray expression data with the help of structured

Elizaveta A Permina1, Yulia A Medvedeva, Pia M Baeck

  • 1Vavilov Institute of General Genetics, 3 Gubkina str. , Moscow, GSP-1, 119991, Russia. elizabeth.permina@vigg.ru

Summary

This study introduces a novel method for identifying bacterial modulons using gene expression data and prior regulatory information. The approach enhances the reliability of modulon identification, especially for understudied bacterial species.

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