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 PMID:29642861  

Identification of methylation sites and signature genes with prognostic value for luminal breast cancer.

Bin Xiao | Lidan Chen | Yongli Ke | Jianfeng Hang | Ling Cao | Rong Zhang | Weiyun Zhang | Yang Liao | Yang Gao | Jianyun Chen | Li Li | Wenbo Hao | Zhaohui Sun | Linhai Li
BMC cancer | 2018

Robust and precise molecular prognostic predictors for luminal breast cancer are required. This study aimed to identify key methylation sites in luminal breast cancer, as well as precise molecular tools for predicting prognosis.

Pubmed ID: 29642861

Research resources used in this publication

None found

Antibodies used in this publication

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Associated grants

  • Agency: The Natural Science Foundation of China, International
    Id: 31672536

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This is a list of tools and resources that we have found mentioned in this publication.


Genomic Data Commons Data Portal (GDC Data Portal) (tool)

RRID:SCR_014514

A unified data repository of the National Cancer Institute (NCI)'s Genomic Data Commons (GDC) that enables data sharing across cancer genomic studies in support of precision medicine. The GDC supports several cancer genome programs at the NCI Center for Cancer Genomics (CCG), including The Cancer Genome Atlas (TCGA), Therapeutically Applicable Research to Generate Effective Treatments (TARGET), and the Cancer Genome Characterization Initiative (CGCI). The GDC Data Portal provides a platform for efficiently querying and downloading high quality and complete data. The GDC also provides a GDC Data Transfer Tool and a GDC API for programmatic access.

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LIMMA (tool)

RRID:SCR_010943

Software package for the analysis of gene expression microarray data, especially the use of linear models for analyzing designed experiments and the assessment of differential expression.

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edgeR (tool)

RRID:SCR_012802

Bioconductor software package for Empirical analysis of Digital Gene Expression data in R. Used for differential expression analysis of RNA-seq and digital gene expression data with biological replication.

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