Hello! I am working with a single series time course data set looking at gene expression over a time series.
My design is as follows
Time Replicates Group
uncut1i 0 1 1
uncut2i 0 2 1
uncut3i 0 3 1
uncut3ii 0 3 1
hab001 0 1 1
hab002 0 2 1
hab003 0 3 1
hab011 1 1 1
hab012 1 2 1
hab013 1 3 1
hab031 3 1 1
hab032 3 2 1
hab033 3 3 1
hab061 6 1 1
hab062 6 2 1
hab063 6 3 1
hab121 12 1 1
hab122 12 2 1
hab123 12 3 1
hab241i 24 1 1
hab242i 24 2 1
hab243i 24 3 1
hab243ii 24 3 1
hab481i 48 1 1
hab482i 48 2 1
hab483i 48 3 1
hab483_ii 48 3 1
I understand that I should only have one group because I am not comparing different experimental conditions, but rather how gene expression changes under one condition. I am having difficulty figuring out how to visualize the genes of interest determined by the masigpro algorithm. I get a list of genes and I can plot how specific genes change over time,but the plot is difficult to interpret. Is there a way to use PlotProfiles to group the replicates from each time point to show the general trend?
Here is my command for plot profiles PlotProfiles(ML005354a,cond=Time,repvect=Replicates,cex.xaxis = .7)
It might be helpful to know a little more about the design. Basically, I have normalized count data from 27 libraries. Of those 27 libraries, there are Control,00,01,03,06,12,24 and 48 hour time points each with 3 or 4 replicates. I would like to plot how specific genes change in expression over time
It might be helpful to know a little more about the design. Basically, I have normalized count data from 27 libraries. Of those 27 libraries, there are Control,00,01,03,06,12,24 and 48 hour time points each with 3 or 4 replicates. I would like to plot how specific genes change in expression over time