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
GRPGAT: Predicting CircRNA-disease Associations Based on Gr..:
, In:
2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
,
Kang, Wen-Yue
;
Gao, Ying-Lian
;
Shang, Junliang
... - p. 233-236 , 2023
Link:
https://doi.org/10.1109/BIBM58861.2023.10386060
RT T1 <cTitle>2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)</cTitle>: T1 <Title>GRPGAT: Predicting CircRNA-disease Associations Based on Graph Random Propagation Network and Graph Attention Network</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10386060&Exemplar=1&LAN=DE A1 Kang, Wen-Yue A1 Gao, Ying-Lian A1 Shang, Junliang A1 Zheng, Chun-Hou A1 Wang, Juan A1 Liu, Jin-Xing YR 2023 SN 2156-1133 K1 Biological system modeling K1 Prediction methods K1 Multilayer perceptrons K1 Feature extraction K1 Prediction algorithms K1 Breast cancer K1 Robustness K1 circRNA-disease association K1 center kernel align K1 graph random propagation K1 graph attention network K1 multi-layer perceptron SP 233 OP 236 LK http://dx.doi.org/https://doi.org/10.1109/BIBM58861.2023.10386060 DO https://doi.org/10.1109/BIBM58861.2023.10386060 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
