massNet: integrated processing and classification of spatially resolved mass spectrometry data using deep learning for rapid tumor delineation

Abstract Motivation Mass spectrometry imaging (MSI) provides rich biochemical information in a label-free manner and therefore holds promise to substantially impact current practice in disease diagnosis. However, the complex nature of MSI data poses computational challenges in its analysis. The comp...

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Veröffentlicht in:	Bioinformatics 2022-03, Vol.38 (7), p.2015-2021
Hauptverfasser:	Abdelmoula, Walid M, Stopka, Sylwia A, Randall, Elizabeth C, Regan, Michael, Agar, Jeffrey N, Sarkaria, Jann N, Wells, William M, Kapur, Tina, Agar, Nathalie Y R
Format:	Artikel
Sprache:	eng
Schlagworte:	Animals Deep Learning Machine Learning Mass Spectrometry - methods Metabolomics - methods Mice Neoplasms - diagnostic imaging Original Papers
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