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 |
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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 |
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2018
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| URL |
:
https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-018-2029-1
|
| DOI |
:
10.1186/s12859-018-2029-1
|
| Short Title |
:
BMC Bioinformatics
|
| Download citation |