I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Combinatory analysis of immune cell subsets and tumor-speci..:
Dutta, Nikita
;
Rohlin, Anna
;
Eklund, Ella A.
...
Frontiers in Oncology. 12 (2023) - p. , 2023
Link:
https://doi.org/10.3389/fonc.2022.1073457
RT Journal T1
Combinatory analysis of immune cell subsets and tumor-specific genetic variants predict clinical response to PD-1 blockade in patients with non-small cell lung cancer
UL https://suche.suub.uni-bremen.de/peid=cr-10.3389_fonc.2022.1073457&Exemplar=1&LAN=DE A1 Dutta, Nikita A1 Rohlin, Anna A1 Eklund, Ella A. A1 Magnusson, Maria K. A1 Nilsson, Frida A1 Akyürek, Levent M. A1 Torstensson, Per A1 Sayin, Volkan I. A1 Lundgren, Anna A1 Hallqvist, Andreas A1 Raghavan, Sukanya PB Frontiers Media SA YR 2023 SN 2234-943X JF Frontiers in Oncology VO 12 LK http://dx.doi.org/https://doi.org/10.3389/fonc.2022.1073457 DO https://doi.org/10.3389/fonc.2022.1073457 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)