Skip to Main Content

Paper Details

DNA methylation-based machine learning classification distinguishes pleural mesothelioma from chronic pleuritis, pleural carcinosis, and pleomorphic lung carcinomas.
Lung Cancer
1
2022
BCL11B, DNA, EBF1, FOXA1, PM, WNK2, candidate genes, chronic pleuritis, endothelial cells, lung adeno- and squamous cell carcinomas, lung adenocarcinomas, lung cancer, lung squamous cell carcinomas, macrophages, natural killer cells, pleomorphic carcinomas, pleomorphic lung carcinomas, pleural carcinosis, pleural mesothelioma, regulatory T-cells, squamous cell carcinomas, tumor, tumor cell, tumor suppressor genes
Author NameAffiliation
Philipp JurmeisterInstitute of Pathology, Ludwig Maximilians University Hospital Munich, Germany Institute of Pathology, Charite - Universitatsmedizin Berlin, Freie Universitat Berlin, Humboldt-Universitat zu Berlin, and German Cancer Research Center (DKFZ)
Frederick KlauschenInstitute of Pathology, Ludwig Maximilians University Hospital Munich, and German Cancer Research Center (DKFZ), Germany BIFOLD - Berlin Institute for the Foundations of Learning and Data
David Capperand German Cancer Research Center (DKFZ), Germany Charite - Universitatsmedizin Berlin, Freie Universitat Berlin and Humboldt-Universitat zu Berlin
David Capperand German Cancer Research Center (DKFZ), Germany Charite - Universitatsmedizin Berlin, Freie Universitat Berlin and Humboldt-Universitat zu Berlin
  • 1 - 4

Datasets

Release 1.2