11 citations · 23 across the 5 of their papers we have counts for
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q-bio.QM2017
Machine learning for classification and quantification of monoclonal antibody preparations for cancer therapy
Laetitia Le, Camille Marini, Alexandre Gramfort +9
Monoclonal antibodies constitute one of the most important strategies to treat patients suffering from cancers such as hematological malignancies and solid tumors. In order to guar…
cs.AI2017★ 1 cited
Morpheo: Traceable Machine Learning on Hidden data
Mathieu Galtier, Camille Marini
Morpheo is a transparent and secure machine learning platform collecting and analysing large datasets. It aims at building state-of-the art prediction models in various fields wher…