Front Cover: MALDI‐Imaging for Classification of Epithelial Ovarian Cancer Histotypes from a Tissue Microarray Using Machine Learning Methods. Issue 1 (7th February 2019)

• Record Type: Journal Article
• Authors: Klein, Oliver; Kanter, Frederic; Kulbe, Hagen; Jank, Paul; Denkert, Carsten; Nebrich, Grit; Schmitt, Wolfgang D.; Wu, Zhiyang; Kunze, Catarina A.; Sehouli, Jalid; Darb‐Esfahani, Silvia; Braicu, Ioana; Lellmann, Jan; Thiele, Herbert; Taube, Eliane T.
• Other Names: Longuespée Rémi guestEditor.; Casadonte Rita guestEditor.; Schwamborn Kristina guestEditor.; Kriegsmann Mark guestEditor.
• Is Part Of: Proteomics. Volume 13:Issue 1(2019)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2019-02-07
• Subjects: Proteomics -- Periodicals; 572.605
• DOI: 10.1002/prca.201970011
• Languages: English
• ISSNs: 1862-8346

Abstract

Abstract : Precise histological classification of epithelial ovarian cancer (EOC) subtypes is important for personalized treatment. The image, designed by Maria Hänel, illustrates the potential of imaging mass spectrometry combined with machine learning methods to explore spatial proteomic levels, enabling the classification of EOC histological subtypes. Applications include the development of new prognostic parameters in the tissue assessment of EOC. This is reported by Oliver Klein, Frederic Kanter, Hagen Kulbe, Paul Jank, Carsten Denkert, Grit Nebrich, Wolfgang D. Schmitt, Zhiyang Wu, Catarina A. Kunze, Jalid Sehouli, Silvia Darb‐Esfahani, Ioana Braicu, Jan Lellmann, Herbert Thiele, Eliane T. Taube in article1700181 .