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Fig. 1 | BMC Bioinformatics

Fig. 1

From: RSNET: inferring gene regulatory networks by a redundancy silencing and network enhancement technique

Fig. 1

The flowchart of RSNET method. a The initial dimensionality is detected by using MI measure. The candidate genes will be separated to three classes, i.e. low-dependent, mid-dependent and high-dependent genes. b An example for the prediction. The regulatory spaces include three types, i.e. direct space, indirect space and noise space. There are four types of interactions, i.e. direct regulation, indirect regulation, noise regulation and neighbour regulation. c The regulatory strengths are estimated by combining MI measures and RSNET parameters. d The network inferred by RSNET. The final network excluded the noise and direct regulations

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BMC Bioinformatics

ISSN: 1471-2105

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