Identification of cancer subtypes from single-cell RNA-seq data using a consensus clustering method
Abstract Background Human cancers are complex ecosystems composed of cells with distinct molecular signatures. Such intratumoral heterogeneity poses a major challenge to cancer diagnosis and treatment. Recent advancements of single-cell techniques such as scRNA-seq have brought unprecedented insight...
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| Main Authors: | , , , , |
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| Format: | Book |
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BMC,
2018-12-01T00:00:00Z.
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A1234.567 |
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| Copy 1 | Available |