Statistical elimination of spectral features with large between-run variation enhances quantitative protein-level conclusions in experiments with data-independent spectral acquisition
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Author
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Date
2015-01Type
- Other Conference Item
ETH Bibliography
yes
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Permanent link
https://doi.org/10.3929/ethz-b-000101428Publication status
publishedExternal links
Journal / series
BMC BioinformaticsVolume
Pages / Article No.
Publisher
BioMed CentralEvent
Subject
Feature Selection; False Discovery Rate; Spectral Feature; Protein Abundance; Select Reaction MonitoringMore
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ETH Bibliography
yes
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