Erratum: Computational identification of multi-omic correlates of anticancer therapeutic response
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2164
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Erratum: Computational identification of multi-omic correlates of anticancer therapeutic response ; volume:16 ; number:1 ; day:30 ; month:6 ; year:2015 ; pages:1 ; date:12.2015
BMC genomics ; 16, Heft 1 (30.6.2015), 1, 12.2015
- Creator
-
Stetson, Lindsay C.
Pearl, Taylor
Chen, Yanwen
Barnholtz-Sloan, Jill S.
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1186/s12864-015-1630-1
- URN
-
urn:nbn:de:101:1-2021082721294368284099
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:44 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Stetson, Lindsay C.
- Pearl, Taylor
- Chen, Yanwen
- Barnholtz-Sloan, Jill S.
- SpringerLink (Online service)
Other Objects (12)
Computational identification of multi-omic correlates of anticancer therapeutic response
Deconvoluting complex correlates of COVID-19 severity with a multi-omic pandemic tracking strategy
Multi-omic prediction of incident type 2 diabetes
Multi-omic analysis of the aging mouse brain
Multi–omic analysis of signalling factors in inflammatory comorbidities
Multi‐omic analyses and network biology in cardiovascular disease
A guided network estimation approach using multi-omic information
A multi-omic atlas of human embryonic skeletal development
An AI Agent for Fully Automated Multi‐Omic Analyses
Multi-omic characterization of pediatric ARDS via nasal brushings
Editorial: Molecular and multi-omic approaches in understanding cancer biology and anticancer therapies: current perspectives and new challenges
Multi-omic brain and behavioral correlates of cell-free fetal DNA methylation in macaque maternal obesity models
Computational identification of multi-omic correlates of anticancer therapeutic response
Deconvoluting complex correlates of COVID-19 severity with a multi-omic pandemic tracking strategy
Multi-omic prediction of incident type 2 diabetes
Multi-omic analysis of the aging mouse brain
Multi–omic analysis of signalling factors in inflammatory comorbidities
Multi‐omic analyses and network biology in cardiovascular disease
A guided network estimation approach using multi-omic information
A multi-omic atlas of human embryonic skeletal development
An AI Agent for Fully Automated Multi‐Omic Analyses
Multi-omic characterization of pediatric ARDS via nasal brushings
Editorial: Molecular and multi-omic approaches in understanding cancer biology and anticancer therapies: current perspectives and new challenges
Multi-omic brain and behavioral correlates of cell-free fetal DNA methylation in macaque maternal obesity models
Computational identification of multi-omic correlates of anticancer therapeutic response
Deconvoluting complex correlates of COVID-19 severity with a multi-omic pandemic tracking strategy
Multi-omic prediction of incident type 2 diabetes
Multi-omic analysis of the aging mouse brain
Multi–omic analysis of signalling factors in inflammatory comorbidities
Multi‐omic analyses and network biology in cardiovascular disease
A guided network estimation approach using multi-omic information
A multi-omic atlas of human embryonic skeletal development
An AI Agent for Fully Automated Multi‐Omic Analyses
Multi-omic characterization of pediatric ARDS via nasal brushings
Editorial: Molecular and multi-omic approaches in understanding cancer biology and anticancer therapies: current perspectives and new challenges