Academic Research
Dynemo's unique capability to make inferences about the entire protein interaction network at once makes it an ideal tool for understanding genomics data.
One of the biggest criticisms of gene expression based tests is the lack of mechanistic context. While selection of the initial gene set used to develop a test is hypothesis driven, refinement of the gene expression panel is based mainly on statistical correlation. What separates Dynemo from other biomarker development tools is the ability to provide mechanistic context to gene expression analysis in a completely unbiased fashion by assessing expression ratios of proteins that are known to interact.
Dynemo is currently available to academic groups on a collaborative basis; the software can be run on-site or as a service.
Dynemo's unique capability to make inferences about the entire protein interaction network at once makes it an ideal tool for understanding genomics data.
One of the biggest criticisms of gene expression based tests is the lack of mechanistic context. While selection of the initial gene set used to develop a test is hypothesis driven, refinement of the gene expression panel is based mainly on statistical correlation. What separates Dynemo from other biomarker development tools is the ability to provide mechanistic context to gene expression analysis in a completely unbiased fashion by assessing expression ratios of proteins that are known to interact.
Dynemo is currently available to academic groups on a collaborative basis; the software can be run on-site or as a service.
