Description Usage Format Details Author(s) References Examples
Knockout expression data for the kinase ATM and transcription factors p53 and RelA (Elkon et al., 2005), as well as knowledge about their targets and mutual regulatory relations in two different cell populations: healthy and damaged cells.
1 | data(damage)
|
data.healthy (data.frame): 8463x3, beliefs.healthy (list): 2, model.healthy (matrix): 3x3, data.damage (data.frame): 8463x3, beliefs.damage (list): 1,
model.damage (matrix): 3x3.
The data.healthy
dataset contains log gene expression ratios for the regulator knockouts versus control.
For the genes that are known to be targeted by RelA and genes that are targeted by p53 in normal conditions, beliefs.healthy
contains certainties (beliefs) that those targets are differentially expressed upon their regulator's knockdown.
The model.healthy
matrix represents mutual signaling relations between the regulators in the healthy cells (here the model reflects that no regulator influences others).
The data.damage
dataset contains log gene expression ratios for the regulator knockouts upon treatment with neocarzinostatin versus treatment with neocarzinostatin alone.
For the genes that are known to be targeted by p53 in the damaged cells, beliefs.damage
contains certainties (beliefs) that they are differentially expressed upon the knockdown of p53.
The model.damage
matrix represents mutual signaling relations between the regulators in the damaged cells (here the model reflects ATM signaling down to RelA and p53).
Ewa Szczurek
Elkon R, Rashi-Elkeles S, Lerenthal Y, Linhart C, Tenne T, Amariglio N, Rechavi G, Shamir R, Shiloh Y. Dissection of a DNA-damage-induced transcriptional network using a combination of microarrays, RNA interference and computational promoter analysis. Genome Biol. 2005;6(5):R43.
1 2 3 4 | data(damage)
str(data.damage)
str(beliefs.damage)
print(model.damage)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.