Computational identification of multi-omic correlates of anticancer therapeutic response
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2164
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Computational identification of multi-omic correlates of anticancer therapeutic response ; volume:15 ; number:7 ; day:27 ; month:10 ; year:2014 ; pages:1-8 ; date:10.2014
BMC genomics ; 15, Heft 7 (27.10.2014), 1-8, 10.2014
- Urheber
-
Stetson, Lindsay C.
- Beteiligte Personen und Organisationen
-
Pearl, Taylor
Chen, Yanwen
Barnholtz-Sloan, Jill S.
SpringerLink (Online service)
- DOI
-
10.1186/1471-2164-15-S7-S2
- URN
-
urn:nbn:de:1111-2016072910470
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:53 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
- Stetson, Lindsay C.
- Pearl, Taylor
- Chen, Yanwen
- Barnholtz-Sloan, Jill S.
- SpringerLink (Online service)
Ähnliche Objekte (12)
Erratum: 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 analyses and network biology in cardiovascular disease
Multi–omic analysis of signalling factors in inflammatory comorbidities
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
The Human Toxome Collaboratorium : A Shared Environment for Multi-Omic Computational Collaboration within a Consortium
Editorial: Molecular and multi-omic approaches in understanding cancer biology and anticancer therapies: current perspectives and new challenges
Erratum: 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 analyses and network biology in cardiovascular disease
Multi–omic analysis of signalling factors in inflammatory comorbidities
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
The Human Toxome Collaboratorium : A Shared Environment for Multi-Omic Computational Collaboration within a Consortium
Editorial: Molecular and multi-omic approaches in understanding cancer biology and anticancer therapies: current perspectives and new challenges
Erratum: 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 analyses and network biology in cardiovascular disease
Multi–omic analysis of signalling factors in inflammatory comorbidities
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
The Human Toxome Collaboratorium : A Shared Environment for Multi-Omic Computational Collaboration within a Consortium