Clinical and Translational Medicine (Feb 2022)
The synergism of spatial metabolomics and morphometry improves machine learning‐based renal tumour subtype classification
- Verena M. Prade,
- Na Sun,
- Jian Shen,
- Annette Feuchtinger,
- Thomas Kunzke,
- Achim Buck,
- Peter Schraml,
- Holger Moch,
- Kristina Schwamborn,
- Michael Autenrieth,
- Jürgen E. Gschwend,
- Franziska Erlmeier,
- Arndt Hartmann,
- Axel Walch
Affiliations
- Verena M. Prade
- Research Unit Analytical Pathology Helmholtz Zentrum München – German Research Center for Environmental Health Neuherberg Germany
- Na Sun
- Research Unit Analytical Pathology Helmholtz Zentrum München – German Research Center for Environmental Health Neuherberg Germany
- Jian Shen
- Research Unit Analytical Pathology Helmholtz Zentrum München – German Research Center for Environmental Health Neuherberg Germany
- Annette Feuchtinger
- Research Unit Analytical Pathology Helmholtz Zentrum München – German Research Center for Environmental Health Neuherberg Germany
- Thomas Kunzke
- Research Unit Analytical Pathology Helmholtz Zentrum München – German Research Center for Environmental Health Neuherberg Germany
- Achim Buck
- Research Unit Analytical Pathology Helmholtz Zentrum München – German Research Center for Environmental Health Neuherberg Germany
- Peter Schraml
- Institute of Pathology and Molecular Pathology University Hospital Zurich Zurich Switzerland
- Holger Moch
- Institute of Pathology and Molecular Pathology University Hospital Zurich Zurich Switzerland
- Kristina Schwamborn
- Institute of Pathology Technical University Munich Munich Germany
- Michael Autenrieth
- Department of Urology Technical University Munich Munich Germany
- Jürgen E. Gschwend
- Department of Urology Technical University Munich Munich Germany
- Franziska Erlmeier
- Institute of Pathology, University Hospital Erlangen Friedrich‐Alexander‐University Erlangen‐Nürnberg Erlangen Germany
- Arndt Hartmann
- Institute of Pathology, University Hospital Erlangen Friedrich‐Alexander‐University Erlangen‐Nürnberg Erlangen Germany
- Axel Walch
- Research Unit Analytical Pathology Helmholtz Zentrum München – German Research Center for Environmental Health Neuherberg Germany
- DOI
- https://doi.org/10.1002/ctm2.666
- Journal volume & issue
-
Vol. 12,
no. 2
pp. n/a – n/a
Abstract
No abstracts available.Keywords
- machine learning
- mass spectrometry imaging
- metabolomics
- morphometry
- renal cell carcinoma
- tumour of the kidney