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Prognostically Relevant Subtypes and Survival Prediction for Breast Cancer Based on Multimodal Genomics Data

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2019 Germany Publisher:Institute of Electrical and Electronics Engineers (IEEE)Journal:IEEE Access, volume 7, pages 133,850-133,864 (eissn: 2169-3536, Copyright policy )
Authors: Md. Rezaul Karim 0001; Galih Wicaksono; Ivan G. Costa; Stefan Decker; Oya Beyan;
APC: 1,592.05 EUR

doi: 10.1109/access.2019.2941796 , 10.18154/rwth-2019-11555

Prognostically Relevant Subtypes and Survival Prediction for Breast Cancer Based on Multimodal Genomics Data

Abstract

IEEE access 7, 133850-133864 (2019). doi:10.1109/ACCESS.2019.2941796

Published by IEEE, New York, NY

Country
Germany
Related Organizations
Keywords

info:eu-repo/classification/ddc/621.3, multimodal autoencoder, Cancer genomics, cancer subtype, Electrical engineering. Electronics. Nuclear engineering, survival prediction, TK1-9971, 621.3

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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 20
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
20
Top 10%
Top 10%
Top 10%
Green
gold
Related to Research communities
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Cancer Research