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
Predictions of COVID-19 Infection Severity Based on Co-asso..:
, In:
2020 IEEE 8th International Conference on Computer Science and Network Technology (ICCSNT)
,
Wang, Ryan Yixiang
;
Guo, Tim Qinsong
;
Li, Leo Guanhua
.. - p. 92-96 , 2020
Link:
https://doi.org/10.1109/ICCSNT50940.2020.9304990
RT T1 <cTitle>2020 IEEE 8th International Conference on Computer Science and Network Technology (ICCSNT)</cTitle>: T1 <Title>Predictions of COVID-19 Infection Severity Based on Co-associations between the SNPs of Co-morbid Diseases and COVID-19 through Machine Learning of Genetic Data</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9304990&Exemplar=1&LAN=DE A1 Wang, Ryan Yixiang A1 Guo, Tim Qinsong A1 Li, Leo Guanhua A1 Jiao, Julia Yutian A1 Wang, Lena Yiqi YR 2020 K1 COVID-19 K1 Diseases K1 Genomics K1 Random forests K1 Predictive models K1 Data models K1 Bioinformatics K1 SNP K1 Machine Learning K1 Neural Network K1 Random Forest K1 Genetics SP 92 OP 96 LK http://dx.doi.org/https://doi.org/10.1109/ICCSNT50940.2020.9304990 DO https://doi.org/10.1109/ICCSNT50940.2020.9304990 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
