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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Bibliografiska uppgifter
I publikationen:IEEE Trans Nanobioscience
Huvudupphovsmän: Athreya, Arjun P., Gaglio, Alan J., Cairns, Junmei, Kalari, Krishna R., Weinshilboum, Richard M., Wang, Liewei, Kalbarczyk, Zbigniew T., Iyer, Ravishankar K.
Materialtyp: Artigo
Språk:Inglês
Publicerad: 2018
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Article
Länkar: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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