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Showing 1 to 2 of 2 for “"Disease Gene Prediction"”.
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Learning on the Graph: Link Prediction, Multi-label Learning, and Applications to Integrative Complex Disease Studies
<p>Most of the common human diseases, such as cancer, diabetes, and Alzheimer's disease, are consequences of the abnormality of multiple cellular components and the perturbation of their intricate interactions. The emerging network-based approaches offer a unique framework for understanding the …
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A Multimodal Graph Convolutional Approach to Predict Genes Associated with Rare Genetic Diseases
There exist a large number of rare genetic diseases in humans. Our knowledge of the specific gene variants whose presence in the genome of a person predisposes them towards developing a disease, called gene associations, is incomplete. Computational tools which can predict genes which may be …