Identifying disease-gene associations using a convolutional neural network-based model by embedding a biological knowledge graph with entity descriptions.

Abstract excerpt

Understanding the role of genes in human disease is of high importance. However, identifying genes associated with human diseases requires laborious experiments that involve considerable effort and time. Therefore, a computational approach to predict candidate genes related to complex diseases including cancer has been extensively studied. In this study, we propose a convolutional neural network-based knowledge...

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