Deep learning of mutation-gene-drug relations from the literature.
| Author | |
|---|---|
| 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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