CORDIS Project
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DeepTextNet develops advanced text mining technology to extract detailed information about molecular interactions from biomedical literature. By leveraging deep learning and big data, it aims to enhance the interpretation of omics data through comprehensive molecular networks that specify interaction types and directio…
The academic community and the pharmaceutical industry use omics technologies to produce big data at an incredibly increasing rate but are faced with major challenges when it comes to their interpretation.
Key for this interpretation is the association between individual entities, which in a biological context means creating molecular networks.
These associations cannot be derived from the omics data alone, but rely heavily on pre-generated networks created by text mining of millions of scientif…
KOBENHAVNS UNIVERSITET
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