Hi All, I have data at different time points for time course experiment. I have a response for each time point and i would like to test whether the difference between response of two time points is statistically significant or not. my data is linear plot where response on y axis and time on x axis. what statistical test shall i use? I appreciate any help. Best Regards, Chris [[alternative HTML version deleted]]

Dear Chris, Limma can be used to test between time points treating each time point as a categorical variable. The program "EDGE" from the Storey lab, can test whether there is significant change over a whole time course. http://www.ncbi.nlm.nih.gov/pubmed/16357033 with hopes that the above helps, Rich Richard A. Friedman, PhD Associate Research Scientist, Biomedical Informatics Shared Resource Herbert Irving Comprehensive Cancer Center (HICCC) Lecturer, Department of Biomedical Informatics (DBMI) Educational Coordinator, Center for Computational Biology and Bioinformatics (C2B2)/ National Center for Multiscale Analysis of Genomic Networks (MAGNet)/ Columbia Initiative in Systems Biology Room 824 Irving Cancer Research Center Columbia University 1130 St. Nicholas Ave New York, NY 10032 (212)851-4765 (voice) friedman@cancercenter.columbia.edu http://cancercenter.columbia.edu/~friedman/ "Complex numbers! Ha! Ha! There is nothing weirder than imaginary numbers. Architects don't need to know complex numbers. Whenever I get a negative root for an area, I throw it out. And don't talk to me about quaternions. I am not going into computer animation." -Rose Friedman, age 16 On Jan 30, 2013, at 11:43 PM, chris Jhon wrote: > Hi All, > > I have data at different time points for time course experiment. > I have a response for each time point and i would like to test whether the > difference between response of two time points is statistically significant > or not. > my data is linear plot where response on y axis and time on x axis. > > what statistical test shall i use? > > > I appreciate any help. > > Best Regards, > Chris > > [[alternative HTML version deleted]] > > _______________________________________________ > Bioconductor mailing list > Bioconductor@r-project.org > https://stat.ethz.ch/mailman/listinfo/bioconductor > Search the archives: http://news.gmane.org/gmane.science.biology.informatics.conductor [[alternative HTML version deleted]]