More About the Conference
Computational methods are ubiquitously used in mass spectrometry, and they have a long history of being applied to all its aspects from data acquisition to data interpretation. These methods include signal processing, search and pattern matching algorithms. Recently the application of machine learning methods to science and society have increased dramatically, and some of these methods have found mass spectrometry applications. At the same time access to large amounts of open publicly available mass spectrometry data has enabled new types of inquiries. This proposed conference will cover the main applications of computational methods to mass spectrometry data.
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