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Titel:

Machine Learning-based Classification of Diffuse Large B-cell Lymphoma Patients by Their Protein Expression Profiles.

Dokumenttyp:
Journal Article; Article
Autor(en):
Deeb, Sally J; Tyanova, Stefka; Hummel, Michael; Schmidt-Supprian, Marc; Cox, Juergen; Mann, Matthias
Abstract:
Characterization of tumors at the molecular level has improved our knowledge of cancer causation and progression. Proteomic analysis of their signaling pathways promises to enhance our understanding of cancer aberrations at the functional level, but this requires accurate and robust tools. Here, we develop a state of the art quantitative mass spectrometric pipeline to characterize formalin-fixed paraffin-embedded tissues of patients with closely related subtypes of diffuse large B-cell lymphoma....     »
Zeitschriftentitel:
Mol Cell Proteomics
Jahr:
2015
Band / Volume:
14
Heft / Issue:
11
Seitenangaben Beitrag:
2947-60
Sprache:
eng
Volltext / DOI:
doi:10.1074/mcp.M115.050245
PubMed:
http://view.ncbi.nlm.nih.gov/pubmed/26311899
Print-ISSN:
1535-9476
TUM Einrichtung:
III. Medizinische Klinik und Poliklinik (Hämatologie / Onkologie)
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