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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Detalles Bibliográficos
Autores principales: Conrad, Tim O. F., Genzel, Martin, Cvetkovic, Nada, Wulkow, Niklas, Leichtle, Alexander, Vybiral, Jan, Kutyniok, Gitta, Schütte, Christof
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5343371/
https://www.ncbi.nlm.nih.gov/pubmed/28274197
http://dx.doi.org/10.1186/s12859-017-1565-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5343371/
https://www.ncbi.nlm.nih.gov/pubmed/28274197
http://dx.doi.org/10.1186/s12859-017-1565-4

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