Connectivity Map

Connectivity Map. Economic Contribution The Connectivity Map: using gene-expression signatures to connect small molecules, genes, and disease The data is used to find the functional connections between drugs, genes, and diseases through the transitory feature of common gene-expression changes.

urban function connectivity maps at 1000 and 10,000 metres across
urban function connectivity maps at 1000 and 10,000 metres across from www.researchgate.net

This web interface is designed to allow biologists. These results indicate the feasibility of the approach and suggest the value of a large-scale community Connectivity Map project.

urban function connectivity maps at 1000 and 10,000 metres across

These results indicate the feasibility of the approach and suggest the value of a large-scale community Connectivity Map project. These are the questions the Connectivity Map project set. Here, we report more than a 1,000-fold scale-up of the CMap as part of the NIH LINCS Consortium, made possible by a new, low-cost, high-throughput reduced representation.

The Connectivity Map Using GeneExpression Signatures to Connect Small. To date, CMap has generated a library containing over 1.5M gene expression profiles from ~5,000 small-molecule compounds, and ~3,000 genetic reagents, tested in multiple cell types The data is used to find the functional connections between drugs, genes, and diseases through the transitory feature of common gene-expression changes.

connectivity_map1 GÉANT Network. We previously piloted the concept of a Connectivity Map (CMap), whereby genes, drugs, and disease states are connected by virtue of common gene-expression signatures These results indicate the feasibility of the approach and suggest the value of a large-scale community Connectivity Map project.