Deep learning of mutation-gene-drug relations from the literature.
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Abstract |
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Molecular biomarkers that can predict drug efficacy in cancer patients are crucial components for the advancement of precision medicine. However, identifying these molecular biomarkers remains a laborious and challenging task. Next-generation sequencing of patients and preclinical models have increasingly led to the identification of novel gene-mutation-drug relations, and these results have been reported and published in the scientific literature. |
Year of Publication |
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2018
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Journal |
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BMC bioinformatics
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Volume |
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19
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Issue |
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1
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Number of Pages |
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21
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Date Published |
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2018
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URL |
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https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-018-2029-1
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DOI |
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10.1186/s12859-018-2029-1
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Short Title |
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BMC Bioinformatics
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