Deep learning of mutation-gene-drug relations from the literature.
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Abstract | :
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 | :
2018
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Journal | :
BMC bioinformatics
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Volume | :
19
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Issue | :
1
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Number of Pages | :
21
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Date Published | :
2018
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URL | :
https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-018-2029-1
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DOI | :
10.1186/s12859-018-2029-1
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Short Title | :
BMC Bioinformatics
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