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Figure 4 | BMC Bioinformatics

Figure 4

From: Validating module network learning algorithms using simulated data

Figure 4

Precision at different regulation tree levels. Precision as a function of the number of modules for subnetworks generated by regulation tree levels 0 (roots), 1 and 2, and for random assignments of regulators to regulation tree nodes (top to bottom) for data sets with 100 (red), 200 (green) and 300 (blue) experiments. The curves are least squares fits of the data to a linear non-polynomial model of the form a 0 + k = 1 n a k x k 1 e x / 500 MathType@MTEF@5@5@+=feaafiart1ev1aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacH8akY=wiFfYdH8Gipec8Eeeu0xXdbba9frFj0=OqFfea0dXdd9vqai=hGuQ8kuc9pgc9s8qqaq=dirpe0xb9q8qiLsFr0=vr0=vr0dc8meaabaqaciaacaGaaeqabaqabeGadaaakeaacqWGHbqydaWgaaWcbaGaeGimaadabeaakiabgUcaRmaaqadabaGaemyyae2aaSbaaSqaaiabdUgaRbqabaGccqWG4baEdaahaaWcbeqaaiabdUgaRjabgkHiTiabigdaXaaakiabdwgaLnaaCaaaleqabaGaeyOeI0IaemiEaGNaei4la8IaeGynauJaeGimaaJaeGimaadaaaqaaiabdUgaRjabg2da9iabigdaXaqaaiabd6gaUbqdcqGHris5aaaa@461A@ with x the number of modules and n = 3.

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