alexa Inferring Gene Regulatory Networks: Challenges and Opportunities

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Inferring Gene Regulatory Networks: Challenges and Opportunities

With the development of high-throughput, next-generation sequencing and other advanced technologies, a large number of gene expression profiles have been produced. Many of these profiles are available from public databases. A challenging research problem that has drawn a lot of attention in the past is to infer gene regulatory networks from the expression data. A gene regulatory network is represented by a directed graph, in which nodes represent transcription factors or mRNA with edges showing transcriptional regulatory relationships between two nodes.

Citation: Jason T. L. Wang (2015) Inferring Gene Regulatory Networks: Challenges and Opportunities. J Data Mining Genomics Proteomics 6:e118. doi: 10.4172/2153-0602.1000e118

 

 
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