Discovering meaningful gene interactions is crucial for the identification of novel regulatory processes in cells. Building accurately the related graphs remains challenging due to the large number of possible solutions from available data. Nonetheless, enforcing a priori on the graph ...
Read More »Modeling of gene regulatory networks from RNA-Seq data
Systems biology is a research area which aims to understand living systems as a whole, instead of focusing on single biological entities. Gene regulatory network inference is a systems biology approach which predicts interactions between genes with the help of ...
Read More »BRANE Cut – biologically-related a priori network enhancement with graph cuts for gene regulatory network inference
Inferring gene networks from high-throughput data constitutes an important step in the discovery of relevant regulatory relationships in organism cells. Despite the large number of available Gene Regulatory Network inference methods, the problem remains challenging: the underdetermination in the space ...
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