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Additional file 4 of A scalable algorithm for structure identification of complex gene regulatory network from temporal expression data

This paper is available in a repository.
This paper is available in a repository.

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Abstract

Table S2. Additional experiment results of algorithm performance evaluation of DMI on a real background network with 2768 nodes. We retrieved the UCSC background network for human from the RegNetwork database ( http://www.regnetworkweb.org/ ), and then selected the highly confident interactions as the activated edges (RegNetwork provides the tool to select edges of different levels of confidence). The number of such activated edges is about 1/6 of the total number of edges. In this way, we avoid introducing or removing any random edge into the background network. (PDF 59.7 kb)