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
Pathway-Based Kernel Boosting for the Analysis of Genome-Wi..:
Friedrichs, Stefanie
;
Manitz, Juliane
;
Burger, Patricia
...
Computational and Mathematical Methods in Medicine. 2017 (2017) - p. 1-17 , 2017
Link:
https://doi.org/10.1155/2017/6742763
RT Journal T1
Pathway-Based Kernel Boosting for the Analysis of Genome-Wide Association Studies
UL https://suche.suub.uni-bremen.de/peid=cr-10.1155_2017_6742763&Exemplar=1&LAN=DE A1 Friedrichs, Stefanie A1 Manitz, Juliane A1 Burger, Patricia A1 Amos, Christopher I. A1 Risch, Angela A1 Chang-Claude, Jenny A1 Wichmann, Heinz-Erich A1 Kneib, Thomas A1 Bickeböller, Heike A1 Hofner, Benjamin PB Hindawi Limited YR 2017 SN 1748-670X SN 1748-6718 JF Computational and Mathematical Methods in Medicine VO 2017 SP 1 OP 17 LK http://dx.doi.org/https://doi.org/10.1155/2017/6742763 DO https://doi.org/10.1155/2017/6742763 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)