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
Biologically-relevant transfer learning improves transcript..:
Novakovsky, Gherman
;
Saraswat, Manu
;
Fornes, Oriol
..
https://github.com/wassermanlab/TF-Binding-Matrix/tree/Publication. , 2021
Link:
https://zenodo.org/record/5283416
RT Journal T1 <Title>Biologically-relevant transfer learning improves transcription factor binding prediction: TF binding matrices</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftzenodo:oai:zenodo.org:5283416&Exemplar=1&LAN=DE A1 Novakovsky, Gherman A1 Saraswat, Manu A1 Fornes, Oriol A1 Mostafavi, Sara A1 Wasserman, Wyeth W YR 2021 K1 transfer learning K1 deep learning K1 transcription factor binding prediction K1 model interpretation JF https://github.com/wassermanlab/TF-Binding-Matrix/tree/Publication LK http://dx.doi.org/https://zenodo.org/record/5283416 DO https://zenodo.org/record/5283416 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
