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Figure 1 | BMC Systems Biology

Figure 1

From: ENNET: inferring large gene regulatory networks from expression data using gradient boosting

Figure 1

The flowchart of the ENNET algorithm. ENNET algorithm is a modification of a Gradient Boosting Machine algorithm, with a squared error loss function and a regression stump base learner. The algorithm calculates a vector of importance scores of transcription factors, which can possibly regulate a target gene. It is invoked P times in a problem of inferring a P-gene network, i.e., a P-column adjacency matrix V.

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