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
Urinary exosomal expression of long non-coding RNAs as diag..:
Yazarlou, Fatemeh
;
Modarressi, Mohammad Hossein
;
Mowla, Seyed Javad
...
Cancer Management and Research. 10 (2018) - p. 6357-6365 , 2018
Link:
https://doi.org/10.2147/cmar.s186108
RT Journal T1
Urinary exosomal expression of long non-coding RNAs as diagnostic marker in bladder cancer
UL https://suche.suub.uni-bremen.de/peid=cr-10.2147_cmar.s186108&Exemplar=1&LAN=DE A1 Yazarlou, Fatemeh A1 Modarressi, Mohammad Hossein A1 Mowla, Seyed Javad A1 Kholghi Oskooei, Vahid A1 Motevaseli, Elahe A1 Farhady Tooli, Leila A1 Nekoohesh, Leila A1 Eghbali, Maryam A1 Ghafouri-Fard, Soudeh A1 Afsharpad, Mandana PB Informa UK Limited YR 2018 SN 1179-1322 JF Cancer Management and Research VO 10 SP 6357 OP 6365 LK http://dx.doi.org/https://doi.org/10.2147/cmar.s186108 DO https://doi.org/10.2147/cmar.s186108 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)