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عنوان محتوای ارسال شده : Deep learning accurately predicts estrogen receptor status in breast cancer metabolomics data

ناشر : Cold Spring Harbor Laboratory

DOI کد :

10.1101/214254

سال انتشار : 2017

نویسنده : Fadhl Alkawaa, Kumardeep Chaudhary, Lana Garmire

نوع : محتوای ارسال شده

لینک خروجی به محتوای ارسال شده

@incollection{1,
    doi = {10.1101/214254},
    url = {http://dx.doi.org/10.1101/214254},
    year = 2017,
    publisher = {Cold Spring Harbor Laboratory},
    pages = {},
    author = {Fadhl Alkawaa, Kumardeep Chaudhary, Lana Garmire},
    title = {Deep learning accurately predicts estrogen receptor status in breast cancer metabolomics data}
}
TY  - DATA
DO  - 10.1101/214254
UR  - http://dx.doi.org/10.1101/214254
TI  - Deep learning accurately predicts estrogen receptor status in breast cancer metabolomics data
PY  - 2017
PB  - Cold Spring Harbor Laboratory
SP  - 
AU  -Fadhl Alkawaa, Kumardeep Chaudhary, Lana Garmire
Fadhl Alkawaa, Kumardeep Chaudhary, Lana Garmire, T. (2017). Deep learning accurately predicts estrogen receptor status in breast cancer metabolomics data. doi:10.1101/214254
“Deep learning accurately predicts estrogen receptor status in breast cancer metabolomics data.” (2017) - Author: Fadhl Alkawaa, Kumardeep Chaudhary, Lana Garmire