Relative impact of multi-layered genomic data on gene expression phenotypes in serous ovarian tumors. - Wikidata - wikimedia - TriplyDB

Relative impact of multi-layered genomic data on gene expression phenotypes in serous ovarian tumors.

Relative impact of multi-layered genomic data on gene expression phenotypes in serous ovarian tumors.

http://www.wikidata.org/entity/Q30755707

about

Incorporating inter-relationships between different levels of genomic data into cancer clinical outcome prediction Predicting censored survival data based on the interactions between meta-dimensional omics data in breast cancer.Discretization of Gene Expression Data Unmasks Molecular Subgroups Recurring in Different Human Cancer Types Using knowledge-driven genomic interactions for multi-omics data analysis: metadimensional models for predicting clinical outcomes in ovarian carcinoma.Identification of epigenetic interactions between miRNA and DNA methylation associated with gene expression as potential prognostic markers in bladder cancer Identifying subtype-specific associations between gene expression and DNA methylation profiles in breast cancer Integrative regression network for genomic association study.

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P2860

Relative impact of multi-layered genomic data on gene expression phenotypes in serous ovarian tumors.

http://www.wikidata.org/entity/Q30755707

description

2013 nî lūn-bûn

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2013 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած

@hyw

2013 թվականի դեկտեմբերին հրատարակված գիտական հոդված

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2013年の論文

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2013年論文

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2013年論文

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2013年論文

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2013年論文

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2013年論文

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2013年论文

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Relative impact of multi-layer ...... ypes in serous ovarian tumors.

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Relative impact of multi-layer ...... ypes in serous ovarian tumors.

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BMC Systems Biology

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Relative impact of multi-layer ...... ypes in serous ovarian tumors.

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Dokyoon Kim

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Jaehyun Lim

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Ju Han Kim

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Kyung-Ah Sohn

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Relation of gene expression phenotype to immunoglobulin mutation genotype in B cell chronic lymphocytic leukemia

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7 Suppl 6

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