Identifying disease-gene associations using a convolutional neural network-based model by embedding a biological knowledge graph with entity descriptions.
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 inclu...
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| Auteurs principaux: | , |
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| Format: | article |
| Langue: | EN |
| Publié: |
Public Library of Science (PLoS)
2021
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/6942b3709938425c8b9d4d00f5aa23a2 |
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