Prognostic value of the micronucleus assay for clinical endpoints in neoadjuvant radiochemotherapy for rectal cancer
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2407
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Prognostic value of the micronucleus assay for clinical endpoints in neoadjuvant radiochemotherapy for rectal cancer ; volume:21 ; number:1 ; day:4 ; month:3 ; year:2021 ; pages:1-11 ; date:12.2021
BMC cancer ; 21, Heft 1 (4.3.2021), 1-11, 12.2021
- Urheber
-
Dröge, Leif Hendrik
Hennies, Steffen
Lorenzen, Stephan
Conradi, Lena-Christin
Quack, Henriette
Liersch, Torsten
Helms, Christian
Frank, Miriam Alice
Schirmer, Markus Anton
Rave-Fränk, Margret
Beissbarth, Tim
Wolff, Hendrik Andreas
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s12885-021-07914-5
- URN
-
urn:nbn:de:101:1-2021041814021171296963
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:51 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Dröge, Leif Hendrik
- Hennies, Steffen
- Lorenzen, Stephan
- Conradi, Lena-Christin
- Quack, Henriette
- Liersch, Torsten
- Helms, Christian
- Frank, Miriam Alice
- Schirmer, Markus Anton
- Rave-Fränk, Margret
- Beissbarth, Tim
- Wolff, Hendrik Andreas
- SpringerLink (Online service)
Ähnliche Objekte (12)
Analysis of transcription factor CREM dependent gene expression during mouse spermatogenesis
Analysis of transcription factor CREM dependent gene expression during mouse spermatogenesis
A knowledge base for generating patient-specific pathways for individualized treatment decisions in clinical applications
A new analysis approach of epidermal growth factor receptor pathway activation patterns provides insights into cetuximab resistance mechanisms in head and neck cancer
Integration of Pathway Data as Prior Knowledge into Methods for Network Reconstruction
Explaining decisions of graph convolutional neural networks for analyses of molecular subnetworks in cancer
Investigating the Importance of DNA Sequence for Nucleosome Positioning with Means of Machine Learning
Reporting FDR analogous confidence intervals for the log fold change of differentially expressed genes
Kernel-Based Pathway Approaches for Testing and Selection
Analyse von Interleukin-10-Genvariationen bei diffus großzelligen B-Zell-Lymphomen
Unravelling Drug Resistance Mechanisms in Breast Cancer
Individualisierte Microarrayanalyse von PDL-Gewebe von Patienten mit Parodontitis
Analysis of transcription factor CREM dependent gene expression during mouse spermatogenesis
Analysis of transcription factor CREM dependent gene expression during mouse spermatogenesis
A knowledge base for generating patient-specific pathways for individualized treatment decisions in clinical applications
A new analysis approach of epidermal growth factor receptor pathway activation patterns provides insights into cetuximab resistance mechanisms in head and neck cancer
Integration of Pathway Data as Prior Knowledge into Methods for Network Reconstruction
Explaining decisions of graph convolutional neural networks for analyses of molecular subnetworks in cancer
Investigating the Importance of DNA Sequence for Nucleosome Positioning with Means of Machine Learning
Reporting FDR analogous confidence intervals for the log fold change of differentially expressed genes
Kernel-Based Pathway Approaches for Testing and Selection
Analyse von Interleukin-10-Genvariationen bei diffus großzelligen B-Zell-Lymphomen
Unravelling Drug Resistance Mechanisms in Breast Cancer
Individualisierte Microarrayanalyse von PDL-Gewebe von Patienten mit Parodontitis
Analysis of transcription factor CREM dependent gene expression during mouse spermatogenesis
Analysis of transcription factor CREM dependent gene expression during mouse spermatogenesis
A knowledge base for generating patient-specific pathways for individualized treatment decisions in clinical applications
A new analysis approach of epidermal growth factor receptor pathway activation patterns provides insights into cetuximab resistance mechanisms in head and neck cancer
Integration of Pathway Data as Prior Knowledge into Methods for Network Reconstruction
Explaining decisions of graph convolutional neural networks for analyses of molecular subnetworks in cancer
Investigating the Importance of DNA Sequence for Nucleosome Positioning with Means of Machine Learning
Reporting FDR analogous confidence intervals for the log fold change of differentially expressed genes
Kernel-Based Pathway Approaches for Testing and Selection
Analyse von Interleukin-10-Genvariationen bei diffus großzelligen B-Zell-Lymphomen
Unravelling Drug Resistance Mechanisms in Breast Cancer