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 primer on machine learning techniques for genomic applica..:
Monaco, Alfonso
;
Pantaleo, Ester
;
Amoroso, Nicola
...
Computational and Structural Biotechnology Journal. 19 (2021) - p. 4345-4359 , 2021
Link:
https://doi.org/10.1016/j.csbj.2021.07.021
RT Journal T1
A primer on machine learning techniques for genomic applications
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.csbj.2021.07.021&Exemplar=1&LAN=DE A1 Monaco, Alfonso A1 Pantaleo, Ester A1 Amoroso, Nicola A1 Lacalamita, Antonio A1 Lo Giudice, Claudio A1 Fonzino, Adriano A1 Fosso, Bruno A1 Picardi, Ernesto A1 Tangaro, Sabina A1 Pesole, Graziano A1 Bellotti, Roberto PB Elsevier BV YR 2021 SN 2001-0370 JF Computational and Structural Biotechnology Journal VO 19 SP 4345 OP 4359 LK http://dx.doi.org/https://doi.org/10.1016/j.csbj.2021.07.021 DO https://doi.org/10.1016/j.csbj.2021.07.021 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)