GPDBN: deep bilinear network integrating both genomic data and pathological images for breast cancer prognosis prediction.
Resource URI: https://dblp.l3s.de/d2r/resource/publications/journals/bioinformatics/WangLWL21
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dcterms:
bibliographicCitation
<
http://dblp.uni-trier.de/rec/bibtex/journals/bioinformatics/WangLWL21
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dc:
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https://dblp.l3s.de/d2r/resource/authors/Minghui_Wang
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https://dblp.l3s.de/d2r/resource/authors/Ruiqing_Li
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https://dblp.l3s.de/d2r/resource/authors/Zhiqin_Wang
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DOI doi.org%2F10.1093%2Fbioinformatics%2Fbtab185
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dcterms:
issued
2021
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swrc:
journal
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https://dblp.l3s.de/d2r/resource/journals/bioinformatics
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rdfs:
label
GPDBN: deep bilinear network integrating both genomic data and pathological images for breast cancer prognosis prediction.
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foaf:
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https://dblp.l3s.de/d2r/resource/authors/Ao_Li_0001
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swrc:
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18
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swrc:
pages
2963-2970
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dc:
title
GPDBN: deep bilinear network integrating both genomic data and pathological images for breast cancer prognosis prediction.
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37
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