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
DEGGs: an R package with shiny app for the identification o..:
Sciacca, Elisabetta
;
Alaimo, Salvatore
;
Silluzio, Gianmarco
...
Bioinformatics. 39 (2023) 4 - p. , 2023
Link:
https://doi.org/10.1093/bioinformatics/btad192
RT Journal T1
DEGGs: an R package with shiny app for the identification of differentially expressed gene–gene interactions in high-throughput sequencing data
UL https://suche.suub.uni-bremen.de/peid=cr-10.1093_bioinformatics_btad192&Exemplar=1&LAN=DE A1 Sciacca, Elisabetta A1 Alaimo, Salvatore A1 Silluzio, Gianmarco A1 Ferro, Alfredo A1 Latora, Vito A1 Pitzalis, Costantino A1 Pulvirenti, Alfredo A1 Lewis, Myles J A1 Birol, Inanc PB Oxford University Press (OUP) YR 2023 SN 1367-4811 JF Bioinformatics VO 39 IS 4 LK http://dx.doi.org/https://doi.org/10.1093/bioinformatics/btad192 DO https://doi.org/10.1093/bioinformatics/btad192 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)