article Open AccessTop 1% cited
DIA-NN: neural networks and interference correction enable deep proteome coverage in high throughput
Nature Methods · 2019 · Vol. 17(1) · pp. 41–44
Vadim Demichev✉(University of Cambridge)Christoph B. Messner(The Francis Crick Institute)Spyros I. Vernardis(The Francis Crick Institute)Kathryn S. Lilley(University of Cambridge)Markus Ralser(The Francis Crick Institute)
Advanced Proteomics Techniques and ApplicationsMass Spectrometry Techniques and ApplicationsMachine Learning in BioinformaticsDeep learningComputer scienceProteomeThroughputArtificial neural networkSoftwareDeep neural networksProteomicsArtificial intelligenceIdentification (biology)
MeSH terms
Zea maysHeLa CellsHumansSoftwareSpecies SpecificityMass SpectrometryNeural Networks, ComputerProteomeProteomicsHigh-Throughput Screening Assays
Funding
- Biotechnology and Biological Sciences Research Council
Citations
3,095
FWCI
48.00
field-weighted impact
References
32
Percentile
100%
vs. same field & year
Citations per year
References
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Deep learning
Nature · 2015 · 79,164 citations
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