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
Predicting drug resistance in M. tuberculosis using a long-..:
, In:
Proceedings of the 12th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics
,
Safari, Amir Hosein
;
Sedaghat, Nafiseh
;
Zabeti, Hooman
... - p. 1-10 , 2021
Link:
https://dl.acm.org/doi/10.1145/3459930.3469534
RT T1 <cTitle>Proceedings of the 12th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics</cTitle>: T1 <Title>Predicting drug resistance in M. tuberculosis using a long-term recurrent convolutional network</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3469534&Exemplar=1&LAN=DE A1 Safari, Amir Hosein A1 Sedaghat, Nafiseh A1 Zabeti, Hooman A1 Forna, Alpha A1 Chindelevitch, Leonid A1 Libbrecht, Maxwell PB ACM YR 2021 K1 antimicrobial resistance K1 deep learning K1 infectious disease K1 next-generation sequencing K1 tuberculosis SP 1 OP 10 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3459930.3469534 DO https://dl.acm.org/doi/10.1145/3459930.3469534 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
