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DIA-NN: neural networks and interference correction enable deep proteome coverage in high throughput

Vadim Demichev, Christoph B. Messner, Spyros I. Vernardis, Kathryn S. Lilley, Markus Ralser

2019Nature Methods3,416 citationsDOIOpen Access PDF

Topics & Concepts

Deep learningComputer scienceProteomeThroughputArtificial neural networkSoftwareDeep neural networksProteomicsArtificial intelligenceIdentification (biology)Mass spectrometryInterference (communication)Software suiteMachine learningBioinformaticsChemistryChromatographyBiologyChannel (broadcasting)TelecommunicationsGeneBotanyBiochemistryComputer networkWirelessProgramming languageAdvanced Proteomics Techniques and ApplicationsMass Spectrometry Techniques and ApplicationsMachine Learning in Bioinformatics
DIA-NN: neural networks and interference correction enable deep proteome coverage in high throughput | Litcius