Article

New Gene Embedding Learned from Biomedical Literature and Its Application in Identifying Cancer Drivers

2021-01-15

Abstract excerpt

To investigate molecular mechanism of diseases, we need to understand how genes are functionally associated. Computational researchers have tried to capture functional relationships among genes by constructing an embedding space of genes from multiple sources of high-throughput data. However, correlations in high-throughput data does not necessarily imply functional relations. In this study, we generated gene embe...

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Literature Corpus work: a180c11f-4ce6-570f-a7e9-7e1e3233bfe1
DOI: 10.1101/2021.01.13.426600

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