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Full-Text Articles in Bioinformatics
Biofilmgeneset: Leveraging Multi-Omics Data Mining And Ica To Discover Biofilm Stage Genes Of Interest From Condition-Specific Expression Dataset, Mathew Olakunle Alaba
Biofilmgeneset: Leveraging Multi-Omics Data Mining And Ica To Discover Biofilm Stage Genes Of Interest From Condition-Specific Expression Dataset, Mathew Olakunle Alaba
Dissertations and Theses
Biofilm formation occurs in the attachment, colony, maturation, and dispersion stages. Understanding the molecular basis at every point of this process is essential to developing efficient diagnostics devices and effective antibiofilm agents. Gene expression data provide molecular insight for both static and temporal biofilm development. The most used analytic techniques for biofilm gene expression data are clustering and network inference algorithms, which class genes with similar expressions across the samples. However, these methods are inherently deficient because they do not capture gene(s) expressed in a subset of the samples. These subsets might be unique to a developmental stage, for example. …