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
Analysis of Half a Billion Datapoints Across Ten Machine-Le..:
Wong, Wilson K. M.
;
Thorat, Vinod
;
Joglekar, Mugdha V.
...
Frontiers in Endocrinology. 13 (2022) - p. , 2022
Link:
https://doi.org/10.3389/fendo.2022.853863
RT Journal T1
Analysis of Half a Billion Datapoints Across Ten Machine-Learning Algorithms Identifies Key Elements Associated With Insulin Transcription in Human Pancreatic Islet Cells
UL https://suche.suub.uni-bremen.de/peid=cr-10.3389_fendo.2022.853863&Exemplar=1&LAN=DE A1 Wong, Wilson K. M. A1 Thorat, Vinod A1 Joglekar, Mugdha V. A1 Dong, Charlotte X. A1 Lee, Hugo A1 Chew, Yi Vee A1 Bhave, Adwait A1 Hawthorne, Wayne J. A1 Engin, Feyza A1 Pant, Aniruddha A1 Dalgaard, Louise T. A1 Bapat, Sharda A1 Hardikar, Anandwardhan A. PB Frontiers Media SA YR 2022 SN 1664-2392 JF Frontiers in Endocrinology VO 13 LK http://dx.doi.org/https://doi.org/10.3389/fendo.2022.853863 DO https://doi.org/10.3389/fendo.2022.853863 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)