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Machine Learning helps Identify New Drug Mechanisms in Triple-Negative Breast Cancer
This paper demonstrates the ability of machine learning approaches to identify a few genes among the 23,398 genes of the human genome to experiment on in the laboratory to establish new drug mechanisms. As a case study, this work uses MDA-MB-231 breast cancer single-cells treated with the antidiabet...
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| Publicado no: | IEEE Trans Nanobioscience |
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| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6148350/ https://ncbi.nlm.nih.gov/pubmed/29994716 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TNB.2018.2851997 |
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