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
Deep learning enables high-quality and high-throughput pred..:
Ryu, Jae Yong
;
Kim, Hyun Uk
;
Lee, Sang Yup
Proceedings of the National Academy of Sciences. 116 (2019) 28 - p. 13996-14001 , 2019
Link:
https://doi.org/10.1073/pnas.1821905116
RT Journal T1 <Title>Deep learning enables high-quality and high-throughput prediction of enzyme commission numbers</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1073_pnas.1821905116&Exemplar=1&LAN=DE A1 Ryu, Jae Yong A1 Kim, Hyun Uk A1 Lee, Sang Yup PB Proceedings of the National Academy of Sciences YR 2019 SN 0027-8424 SN 1091-6490 JF Proceedings of the National Academy of Sciences VO 116 IS 28 SP 13996 OP 14001 LK http://dx.doi.org/https://doi.org/10.1073/pnas.1821905116 DO https://doi.org/10.1073/pnas.1821905116 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
