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Enhancing cancer subtype classification through convolutional neural networks: a deepinsight analysis of TCGA gene expression data

descriptionPublicationkeyboard_double_arrow_right Article 28 Apr 2025 English Publisher:Springer Science and Business Media LLCJournal:Health Information Science and Systems, volume 13 (eissn: 2047-2501, Copyright policy )
Authors: Changda Li; Yan Yan; Wenjun Lin; Yue Zhang 0050;

doi: 10.1007/s13755-025-00349-3 , 10.5281/zenodo.19503536 , 10.5281/zenodo.19503535

pmid: 40309134

pmc: PMC12037455

Enhancing cancer subtype classification through convolutional neural networks: a deepinsight analysis of TCGA gene expression data

Abstract

Published in Health Information Science and Systems, 2025.

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  • BIP!
    Impact byBIP!
    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).
    		 4
    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).
    		 Average
    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!
4
Top 10%
Average
Top 10%
Green
Related to Research communities
UArctic
Cancer Research