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Deep learning applications for predicting pharmacological properties of drugs and drug repurposing using transcriptomic data
Deep learning is rapidly advancing many areas of science and technology with multiple success stories in image, text, voice and video recognition, robotics and autonomous driving. In this paper we demonstrate how deep neural networks (DNN) trained on large transcriptional response data sets can clas...
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| Pubblicato in: | Mol Pharm |
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| Autori principali: | , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2016
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4965264/ https://ncbi.nlm.nih.gov/pubmed/27200455 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1021/acs.molpharmaceut.6b00248 |
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