GSE9750_expression: Gene Expression Dataset - Cervical Cancer (expression values)
In canvasXpress.data: Datasets for the 'canvasXpress' Package
Description
Usage
Format
References
Description
This example dataset is taken from the below referenced study. That study was aimed
at identification of gene expression profiles in cervical cancer and the role of specific genes
in cervical carcinogenesis.
This dataset was prepared for visualization by retrieving the gene expression values that follow the source
data header information and moving the ID column to the rownames. This allows the storage and processing of the
large numeric data as a matrix instead of a data frame for efficiency while retaining the ability to join it to
the sample annotations and gene information.
Usage
1
Format
A numeric matrix containing gene expression data
References
Scotto L, Narayan G, Nandula SV, Arias-Pulido H et al. Identification of copy number
gain and overexpressed genes on chromosome arm 20q by an integrative genomic approach in cervical
cancer: potential role in progression. Genes Chromosomes Cancer 2008 Sep; 47(9):755-65. PMID: 18506748
canvasXpress.data documentation built on June 30, 2021, 1:07 a.m.
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Description Usage Format References
Description
This example dataset is taken from the below referenced study. That study was aimed at identification of gene expression profiles in cervical cancer and the role of specific genes in cervical carcinogenesis.
This dataset was prepared for visualization by retrieving the gene expression values that follow the source data header information and moving the ID column to the rownames. This allows the storage and processing of the large numeric data as a matrix instead of a data frame for efficiency while retaining the ability to join it to the sample annotations and gene information.
Usage
1 |
Format
A numeric matrix containing gene expression data
References
Scotto L, Narayan G, Nandula SV, Arias-Pulido H et al. Identification of copy number gain and overexpressed genes on chromosome arm 20q by an integrative genomic approach in cervical cancer: potential role in progression. Genes Chromosomes Cancer 2008 Sep; 47(9):755-65. PMID: 18506748
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