The main goal of the presented work lies on these two axes: On one hand it aims to produce a compendium of transcription factor–target genes interactions that would be as reliable as possible, on the other, to implement these relationships, alongside other meaningful, functional information in a simple approach that would allow biologists to perform a quick overview of a gene expression experiment, prioritizing their results and putting the spotlight on highly significant regulatory interactions.
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Inferring active regulatory networks from gene expression data using a combination of prior knowledge and enrichment analysis.
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