VEGFmouse


Log2 normalized mouse gene expression data in the vascular endothelial growth factor signalling pathway across multiple tissues. 


datasets

Characterization of intra-individual variability using physiologically relevant measurements provides important insights into fundamental biological questions ranging from cell type identity to tumor development. For each individual, the data measurements can be written as a matrix with the different subsamples of the individual recorded in the columns and the different phenotypic units recorded in the rows. Datasets of this type are called high-dimensional transposable data. The HDTD package provides functions for conducting statistical inference for the mean relationship between the row and column variables and for the covariance structure within and between the row and column variables.

Anestis Touloumis

HDTD

Statistical Inference about the Mean Matrix and the Covariance
Matrices in High-Dimensional Transposable Data (HDTD)

VEGFmouse function

A data frame with 46 rows and 360 columns. The rows corresponds to 46 genes in the VEGF signalling pathway. The column names indicate the mouse and the tissue on which gene expression levels were measured.
 Since there are 40 mice and 9 tissues, we have a total of 360 columns. Every 9 consecutive columns belong to the same mouse and the tissues are ordered in the same way in each mouse.

Format

Zahn et al. (2007). AGEMAP: A gene expression database for aging in mice. <em>PLoS Genetics</em> <b>3</b>, e201.

Source

Log2 normalized mouse gene expression data in the vascular endothelial growth factor signalling pathway across multiple tissues.

VEGFmouse: Vascular Endothelial Growth Factor Mouse Dataset

Description

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Examples