Description Usage Arguments Details Value Author(s)
This function allows to plot values of FC using a cut-off in order to see which genes are positive correlated, negative correlated or inverse correlated.
1 | SameScale.scatter(num_mat1, num_mat2, col1.cutoff, col2.cutoff, FC.Col1, FC.Col2, cutoff, mainName, filePath = NULL, PNG = TRUE)
|
num_mat1 |
First data matrix to compare with rownames = GeneID and values of FC and p.Val |
num_mat2 |
Second data matrix to compare with rownames = GeneID and values of FC and p.Val |
col1.cutoff |
Column name in the first matrix used to apply the cut-off |
col2.cutoff |
Column name in the second matrix used to apply the cut-off |
FC.Col1 |
Column name in the first matrix containing the values of FC |
FC.Col2 |
Column name in the second matrix containing the values of FC |
cutoff |
Cut-off used to plot the genes |
mainName |
Name of the output |
filePath |
File path for the results. Used only if PNG=TRUE |
PNG |
If PNG=TRUE a .png file is created |
This function is used to compare two results with different FC and p-value scores. It uses a cut-off parameter and plots the intersection of the genes in both matrices using the FC values (X and Y axis). In the interactive version the name of each data point can also be accessed. The package plotly is required in order to make the interctive graphs.
A interactive version of the plot is shown in Rstudio. When PNG=TRUE the static plot is created in the filePath.
Magdalena Arnal Segura <marnal@imim.es>
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