simulate_data | R Documentation |
We generate fold change gene expression (FCGE) data according to the characteristics of toxicogenomic data.
simulate_data(no.gene, no.dcc)
no.gene |
Number of genes in the simulated data. |
no.dcc |
Numbe of doses of chemical compounds (dcc) in the simulated data. |
There are four gene groups and three DCCs groups in the simulated dataset. The gene group 1, 2, 3 and 4 consists the genes G1-G10, G11-G20, G21-G30 and G31-G50 respectively and DCCs group 1, 2 and 3 consists the DCCs C1_High-C5_High- C1_Middle-C5_Middle, C6_High-C10_High- C6_Middle-C10_Middle and C1_Low-C12_Low- C11_Middle- C12_Middle- C11_High- C12_High respectively. Where, G stands for gene and C stands for chemical compound arranged in the row and column of the simulated data matrix respectively. The error term N(0,0.35) from normal distribution with mean 0 and variance 0.35 is added to each element of the simulated dataset. In the simulated dataset the gene group-1 is up-regulated by the DCCs group-1, gene goup-2 is up and down-regulated by the DCCs group-2 and 1 respectively. The gene group-3 is down-regulated by the DCs group-2. The gene group-4 is not regulated by any of the DCCs groups and DCCs group-3 does not influence any of the genes in the dataset.
A list of object that containing the following:
SimData: A simulated data matrix as generated.
SimDataRnd: Randomly distributed row and column entity of simulated data.
GCmat: Transformed simulated data.
Md. Bahadur Badsha <mbbadshar@gmail.com>
# Load library library(rhcoclust) # Number of genes in the simulated data. no.gene <- 50 # Numbe of doses of chemical compounds (dcc) in the simulated data. no.dcc <- 12 SimulteData <- simulate_data(no.gene,no.dcc) # A simulated data matrix as generated. SimulteData$SimData # A randomly distributed row and column entity of simulated data. SimulteData$SimDataRnd # A transformed simulated data. SimulteData$GCmat
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