Question: How to calculate Log2FC for time series microarray gene expression data ?
gravatar for donnieDarko
9 months ago by
donnieDarko0 wrote:


I have time series microarray data with 5 time points and 3 replicates at each time point :

data is like :

contr_30m.1   contr_30m.2 contr_30m.3 contr_4h.1  contr_4h.2  contr_4h.3  contr_12h.1 contr_12h.2 contr_12h.3 contr_24h.1 contr_24h.2 contr_24h.3 contr_168h.1    contr_168h.2    contr_168h.3    treat_30m.1 treat_30m.2 treat_30m.3 treat_4h.1  treat_4h.2  treat_4h.3  treat_12h.1 treat_12h.2 treat_12h.3 treat_24h.1 treat_24h.2 treat_24h.3 treat_168h.1    treat_168h.2    treat_168h.3
15E1.2    6.31830509001173    6.50910103511847    6.40042470226987    6.77260093984888    6.73877459097465    6.62447424457527    6.93719959744148    6.83700972810815    6.73433704523287    6.55774627748981    6.76806652193203    6.92725174160908    6.64310204026992    6.40308379426978    6.48380787868878    6.66861556151074    6.46243225264411    6.64702087453105    6.35550949784669    6.70583555980519    6.59717492579843    6.74637054832231    6.6426175373088 6.64549416114948    6.84560420751365    6.86702539628196    6.98023213569837    6.30737496960958    6.23307662275724    6.61855538519875

where all the data has been converted to their log2 values for better performance in finding DEG's.

I have tried the following code to get the log2foldchange :

for (i in (1:nrow(df))) {
}#calculates the fold change

but in this code the value ranges from -0.25 to +0.25 which is never considered a significant fold change.

I want to use volcanoplot with this data, but I cannot do so, because of this arbitrary log2fc values.

Can you guys suggest me how to perfectly calculate log2foldchange values for Time Series microarray data with replicates ? also is there any other plot rather than volcanoPlot to show data's of time series DEG?

Plz Help.

log2foldchange time-series • 236 views
ADD COMMENTlink written 9 months ago by donnieDarko0
Please log in to add an answer.


Use of this site constitutes acceptance of our User Agreement and Privacy Policy.
Powered by Biostar version 2.3.0
Traffic: 2228 users visited in the last hour