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

@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