In silico deconvolution and purification of cancer epigenomes.

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In silico deconvolution and purification of cancer epigenomes.

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2017 nî lūn-bûn

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2017年の論文

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2017年論文

@yue

2017年論文

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2017年論文

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2017年論文

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2017年論文

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2017年论文

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2017年论文

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2017年论文

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name

In silico deconvolution and purification of cancer epigenomes.

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In silico deconvolution and purification of cancer epigenomes.

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In silico deconvolution and purification of cancer epigenomes.

@en

In silico deconvolution and purification of cancer epigenomes.

@nl

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In silico deconvolution and purification of cancer epigenomes.

@en

In silico deconvolution and purification of cancer epigenomes.

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P1476

In silico deconvolution and purification of cancer epigenomes.

@en

P2093

José I Martín-Subero

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Martí Duran-Ferrer

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Renée Beekman

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P2860

Stromal gene signatures in large-B-cell lymphomas

DNA methylation arrays as surrogate measures of cell mixture distribution.

Whole-epigenome analysis in multiple myeloma reveals DNA hypermethylation of B cell-specific enhancers.

The International Human Epigenome Consortium: A Blueprint for Scientific Collaboration and Discovery.

Reference-free cell mixture adjustments in analysis of DNA methylation data.

Correcting for cell-type effects in DNA methylation studies: reference-based method outperforms latent variable approaches in empirical studies.

Decoding the DNA Methylome of Mantle Cell Lymphoma in the Light of the Entire B Cell Lineage.

P304

25-26

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P31

scholarly article

editorial

P356

10.18632/ONCOSCIENCE.346

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P433

3-4

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P478

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P577

2017-03-01T00:00:00Z

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P698

28540331

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P921

deconvolution

P932

5441471

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