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Figure 3 | BMC Systems Biology

Figure 3

From: From correlation to causation networks: a simple approximate learning algorithm and its application to high-dimensional plant gene expression data

Figure 3

Partially causal network inferred from the Arabidopsis thaliana data by the method introduced in this paper – note the difference to the correlation network of Figure 1. The topology of the partially causal network is identical to that of a partial correlation graph (GGM, CIG). However, edges with significant directionality (as indicated by a factor ℬ MathType@MTEF@5@5@+=feaafiart1ev1aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacH8akY=wiFfYdH8Gipec8Eeeu0xXdbba9frFj0=OqFfea0dXdd9vqai=hGuQ8kuc9pgc9s8qqaq=dirpe0xb9q8qiLsFr0=vr0=vr0dc8meaabaqaciaacaGaaeqabaqabeGadaaakeaat0uy0HwzTfgDPnwy1egaryqtHrhAL1wy0L2yHvdaiqaaliab=Xsicbaa@3788@ that is significantly smaller or larger than one) are oriented.

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BMC Systems Biology

ISSN: 1752-0509

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