Cumulative Learning Enables Convolutional Neural Network Representations for Small Mass Spectrometry Data Classification- Data

Published: 21 October 2020| Version 2 | DOI: 10.17632/33cbb37cs2.2
Khawla Seddiki, Philippe Saudemont, Frederic Precioso, Nina Ogrinc, Maxence Wisztorski, Michel Salzet, Isabelle FOURNIER, Arnoud Droit


The databanks include raw files from beef liver and microorganisms acquired with the Water-Assisted Laser-Desorption Ionization - SpiderMass technology and a MALDI rat brain tissue image analysed with the Rapiflex (Bruker) at 50 x 50 um resolution in positive ion mode. The SpiderMass is composed of a remote IR laser ablation system and a Synapt G2s from Waters. Each databank consists of raw files, ReadMe file (explaining experimental conditions) and a sample list



Mass Spectrometry, Lipidomics, Matrix-Assisted Laser Desorption-Ionization, Imaging Mass Spectrometry