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Figure 1 | BMC Bioinformatics

Figure 1

From: GPNN: Power studies and applications of a neural network method for detecting gene-gene interactions in studies of human disease

Figure 1

GPNN model for Parkinson's Disease data. A GPNN model that was evolved by GPNN on the PD data. The real numbers are used to create weights and fill in for the W nodes. The individual values of sex and DLST _234 fill into those nodes. The activation function is a Boolean function AND, thus it will take (61055.5/33038.075)*sex AND (96492.325*11716.425)*DLST _234.

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BMC Bioinformatics

ISSN: 1471-2105

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