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Integrative analysis and machine learning on cancer genomics data using the Cancer Systems Biology Database (CancerSysDB)

Crossref DOI link: https://doi.org/10.1186/s12859-018-2157-7

Published Online: 2018-04-24

Published Print: 2018-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Krempel, Rasmus

Kulkarni, Pranav

Yim, Annie

Lang, Ulrich

Habermann, Bianca

Frommolt, Peter https://orcid.org/0000-0002-1966-8014
Funding

Funding for this research was provided by:

Deutsche Forschungsgemeinschaft (PF3313/2-1, HA 6905/2-1, LA 919/6-1)

Bundesministerium für Wirtschaft und Technologie (KF2429610MS2)

Max-Planck-Gesellschaft

Centre National de la Recherche Scientifique
License Information

Text and Data Mining valid from 2018-04-24
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Article History

Received: 12 December 2017

Accepted: 16 April 2018

First Online: 24 April 2018

Ethics approval and consent to participate

: The re-analysis of TCGA samples is a retrospective case report that does not require ethics committee approval at our institution.

: All data used in this study was obtained from The Cancer Genome Atlas research network which originally required written informed consent from all participants.

: The authors declare that they have no competing interests.

: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.