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 | 
| Journal | :  BMC bioinformatics | 
| Volume | :  19 | 
| Issue | :  1 | 
| Number of Pages | :  21 | 
| Date Published | :  2018 | 
| URL | :  https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-018-2029-1 | 
| DOI | :  10.1186/s12859-018-2029-1 | 
| Short Title | :  BMC Bioinformatics | 
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