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
Whole transcriptome analysis reveals non-coding RNA's compe..:
Li, Haili
;
Zheng, Xubin
;
Gao, Jing
...
10.1016/j.compbiomed.2022.105881. , 2022
Link:
http://hdl.handle.net/10138/347825
RT Journal T1
Whole transcriptome analysis reveals non-coding RNA's competing endogenous gene pairs as novel form of motifs in serous ovarian cancer
UL https://suche.suub.uni-bremen.de/peid=base-ftunivhelsihelda:oai:helda.helsinki.fi:10138_347825&Exemplar=1&LAN=DE A1 Li, Haili A1 Zheng, Xubin A1 Gao, Jing A1 Leung, Kwong Sak A1 Wong, Man Hon A1 Yang, Shu A1 Liu, Yakun A1 Dong, Ming A1 Bai, Huimin A1 Ye, Xiufeng A1 Cheng, Lixin PB PERGAMON YR 2022 K1 Biomarker K1 ceRNA K1 circRNA K1 Gene pair K1 Serous ovarian cancer K1 Transcriptome K1 3111 Biomedicine JF 10.1016/j.compbiomed.2022.105881 LK http://hdl.handle.net/10138/347825 DO http://hdl.handle.net/10138/347825 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)