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SyntheVAEiser: augmenting traditional machine learning methods with VAE-based gene expression sample generation for improved cancer subtype predictions
by
Karlberg, Brian
,
Kirchgaessner, Raphael
,
Lee, Jordan
,
Peterkort, Matthew
,
Beckman, Liam
,
Goecks, Jeremy
,
Ellrott, Kyle
Published in
Genome Biology
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Genome Biology
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Algorithms
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Biotechnology & Applied Microbiology
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Cancer
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Cancer Subtyping
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Chemical Synthesis
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Data Augmentation
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Feature Engineering
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Gene Expression
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Gene Expression Profiling - Methods
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Gene Expression Regulation, Neoplastic
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Generative Modeling
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Genes
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