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
Application of an Exploratory Knowledge-Discovery Pipeline ..:
Bernardo Bollen Pinto
;
Vicent Ribas Ripoll
;
Paula Subías-Beltrán
...
https://www.mdpi.com/2077-0383/10/19/4354. , 2021
Link:
https://doi.org/10.3390/jcm10194354
RT Journal T1
Application of an Exploratory Knowledge-Discovery Pipeline Based on Machine Learning to Multi-Scale OMICS Data to Characterise Myocardial Injury in a Cohort of Patients with Septic Shock: An Observational Study
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:9e48b668635341ea8006b668d171b2cc&Exemplar=1&LAN=DE A1 Bernardo Bollen Pinto A1 Vicent Ribas Ripoll A1 Paula Subías-Beltrán A1 Antoine Herpain A1 Cristina Barlassina A1 Eliandre Oliveira A1 Roberta Pastorelli A1 Daniele Braga A1 Matteo Barcella A1 Laia Subirats A1 Julia Bauzá-Martinez A1 Antonia Odena A1 Manuela Ferrario A1 Giuseppe Baselli A1 Federico Aletti A1 Karim Bendjelid A1 on behalf of the Shockomics Consortium PB MDPI AG YR 2021 K1 machine learning K1 feature selection K1 septic cardiomyopathy K1 myocardial injury K1 septic shock K1 Medicine K1 R JF https://www.mdpi.com/2077-0383/10/19/4354 LK http://dx.doi.org/https://doi.org/10.3390/jcm10194354 DO https://doi.org/10.3390/jcm10194354 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)