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
A Deep Learning Model to Identify a Genomic Signature Drivi..:
, In:
Proceedings of the 10th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics
,
Alkhatee, Abed
;
Fatima, Nazia
;
Atikukke, Govindaraja
.. - p. 645 ff. , 2019
Link:
https://dl.acm.org/doi/10.1145/3307339.3343481
RT T1
Proceedings of the 10th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics
: T1
A Deep Learning Model to Identify a Genomic Signature Driving Sporadic Colorectal Cancer in Young Adults
UL https://suche.suub.uni-bremen.de/peid=acm-3343481&Exemplar=1&LAN=DE A1 Alkhatee, Abed A1 Fatima, Nazia A1 Atikukke, Govindaraja A1 Misra, Sabeena A1 Rueda, Luis PB ACM YR 2019 K1 classification K1 colorectal cancer in young adults K1 deep learning K1 Applied computing K1 Life and medical sciences K1 Bioinformatics SP 645 ff. LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3307339.3343481 DO https://dl.acm.org/doi/10.1145/3307339.3343481 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)