Skip to main content

Advertisement

Figure 5 | BMC Genomics

Figure 5

From: Use artificial neural network to align biological ontologies

Figure 5

Neural network structure. The input into this network is a vector s MathType@MTEF@5@5@+=feaagaart1ev2aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacPC6xNi=xH8viVGI8Gi=hEeeu0xXdbba9frFj0xb9qqpG0dXdb9aspeI8k8fiI+fsY=rqGqVepae9pg0db9vqaiVgFr0xfr=xfr=xc9adbaqaaeGaciGaaiaabeqaaeqabiWaaaGcbaGafm4CamNbaSaaaaa@2D56@ , which consists of s1, s2, and s3, representing the similarity in name, properties, and ancestors, respectively, for a given pair of concepts. w i are weights assigned to each input. The output from this network is s, the similarity value between these two concepts as given by Formula 3.

Back to article page