Sparse Proteomics Analysis – a compressed sensing-based approach for feature selection and classification of high-dimensional proteomics mass spectrometry data

BACKGROUND: High-throughput proteomics techniques, such as mass spectrometry (MS)-based approaches, produce very high-dimensional data-sets. In a clinical setting one is often interested in how mass spectra differ between patients of different classes, for example spectra from healthy patients vs. s...

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Bibliografische gegevens
Gepubliceerd in:BMC Bioinformatics
Hoofdauteurs: Conrad, Tim O. F., Genzel, Martin, Cvetkovic, Nada, Wulkow, Niklas, Leichtle, Alexander, Vybiral, Jan, Kutyniok, Gitta, Schütte, Christof
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: BioMed Central 2017
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Research Article
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC5343371/
https://ncbi.nlm.nih.gov/pubmed/28274197
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-017-1565-4
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