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Genes, Chromosomes & Cancer
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May 4, 2017
Mutation patterns in genes encoding interferon signaling and antigen presentation: A pan-cancer survey with implications for the use of immune checkpoint inhibitors
Jan Budczies, Michael Bockmayr, Frederick Klauschen, et al.
Acta Neuropathologica
|
April 20, 2024
Nanopore sequencing from formalin-fixed paraffin-embedded specimens for copy-number profiling and methylation-based CNS tumor classification
Ann-Kristin Afflerbach, Anne Albers, Anton Appelt, et al.
Scientific Reports
|
April 15, 2020
Resolving challenges in deep learning-based analyses of histopathological images using explanation methods
Miriam Hägele, Philipp Seegerer, Sebastian Lapuschkin, et al.
Cancer Immunology Research
|
July 4, 2019
Immunologic Profiling of Mutational and Transcriptional Subgroups in Pediatric and Adult High-Grade Gliomas
Michael Bockmayr, Frederick Klauschen, Cecile L Maire, et al.
The Journal of Pathology
|
December 8, 2021
Machine learning models predict the primary sites of head and neck squamous cell carcinoma metastases based on DNA methylation
Maximilian Leitheiser, David Capper, Philipp Seegerer, et al.
Laboratory Investigation; a Journal of Technical Methods and Pathology
|
July 1, 2020
Multiclass cancer classification in fresh frozen and formalin-fixed paraffin-embedded tissue by DigiWest multiplex protein analysis
Teresa Bockmayr, Gerrit Erdmann, Denise Treue, et al.
The Journal of Pathology. Clinical Research
|
August 9, 2016
Classical pathology and mutational load of breast cancer - integration of two worlds
Jan Budczies, Michael Bockmayr, Carsten Denkert, et al.
Nucleic Acids Research
|
January 11, 2023
Single-cell gene regulatory network prediction by explainable AI
Philipp Keyl, Philip Bischoff, Gabriel Dernbach, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research
|
October 25, 2017
Multilayered Omics-Based Analysis of a Head and Neck Cancer Model of Cisplatin Resistance Reveals Intratumoral Heterogeneity and Treatment-Induced Clonal Selection
Franziska Niehr, Theresa Eder, Tanja Pilz, et al.
Pathologie (Heidelberg, Germany)
|
February 5, 2024
[Explainable artificial intelligence in pathology]
Frederick Klauschen, Jonas Dippel, Philipp Keyl, et al.
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Search research articles
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Showing results (11-20 of 51) with videos related to
Sort By:
Page
of 6
Genes, Chromosomes & Cancer
|
May 4, 2017
Mutation patterns in genes encoding interferon signaling and antigen presentation: A pan-cancer survey with implications for the use of immune checkpoint inhibitors
Jan Budczies, Michael Bockmayr, Frederick Klauschen, et al.
Acta Neuropathologica
|
April 20, 2024
Nanopore sequencing from formalin-fixed paraffin-embedded specimens for copy-number profiling and methylation-based CNS tumor classification
Ann-Kristin Afflerbach, Anne Albers, Anton Appelt, et al.
Scientific Reports
|
April 15, 2020
Resolving challenges in deep learning-based analyses of histopathological images using explanation methods
Miriam Hägele, Philipp Seegerer, Sebastian Lapuschkin, et al.
Cancer Immunology Research
|
July 4, 2019
Immunologic Profiling of Mutational and Transcriptional Subgroups in Pediatric and Adult High-Grade Gliomas
Michael Bockmayr, Frederick Klauschen, Cecile L Maire, et al.
The Journal of Pathology
|
December 8, 2021
Machine learning models predict the primary sites of head and neck squamous cell carcinoma metastases based on DNA methylation
Maximilian Leitheiser, David Capper, Philipp Seegerer, et al.
Laboratory Investigation; a Journal of Technical Methods and Pathology
|
July 1, 2020
Multiclass cancer classification in fresh frozen and formalin-fixed paraffin-embedded tissue by DigiWest multiplex protein analysis
Teresa Bockmayr, Gerrit Erdmann, Denise Treue, et al.
The Journal of Pathology. Clinical Research
|
August 9, 2016
Classical pathology and mutational load of breast cancer - integration of two worlds
Jan Budczies, Michael Bockmayr, Carsten Denkert, et al.
Nucleic Acids Research
|
January 11, 2023
Single-cell gene regulatory network prediction by explainable AI
Philipp Keyl, Philip Bischoff, Gabriel Dernbach, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research
|
October 25, 2017
Multilayered Omics-Based Analysis of a Head and Neck Cancer Model of Cisplatin Resistance Reveals Intratumoral Heterogeneity and Treatment-Induced Clonal Selection
Franziska Niehr, Theresa Eder, Tanja Pilz, et al.
Pathologie (Heidelberg, Germany)
|
February 5, 2024
[Explainable artificial intelligence in pathology]
Frederick Klauschen, Jonas Dippel, Philipp Keyl, et al.
Page
of 6