Deep learning for tumor classification in imaging mass spectrometry

Abstract

We propose an adapted architecture based on deep convolutional networks to handle the characteristics of mass spectrometry data.

Publication
In Bioinformatics
Jens Behrmann
Jens Behrmann
Postdoctoral Researcher

My research interests include machine learning, neural networks and applications in life sciences and industry.

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