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
TFmeta : A Machine Learning Approach to Uncover Transcri..:
, In:
Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics
,
Zhang, Yi
;
Zhang, Xiaofei
;
Lane, Andrew N.
.. - p. 351-359 , 2018
Link:
https://dl.acm.org/doi/10.1145/3233547.3233580
RT T1 <cTitle>Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics</cTitle>: T1 <Title>TFmeta : A Machine Learning Approach to Uncover Transcription Factors Governing Metabolic Reprogramming</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3233580&Exemplar=1&LAN=DE A1 Zhang, Yi A1 Zhang, Xiaofei A1 Lane, Andrew N. A1 Fan, Teresa W-M. A1 Liu, Jinze PB ACM YR 2018 K1 lung cancer K1 machine learning K1 metabolic reprogramming K1 rna-seq K1 transcription factor K1 Applied computing K1 Life and medical sciences K1 Computational biology K1 Recognition of genes and regulatory elements K1 Biological networks K1 Computational genomics K1 Genetics K1 Transcriptomics K1 Bioinformatics K1 Metabolomics / metabonomics K1 Systems biology SP 351 OP 359 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3233547.3233580 DO https://dl.acm.org/doi/10.1145/3233547.3233580 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
