I have data for 396 transcriptional factors (TF), where I have calculated the number of Transcriptional targets for each transcriptional factor present between the two groups:

Group-I(G-I): where co-exp genes have a correlation coefficient is more than 0.6 and

Group-II(G-II): where the co-exp genes have r values less than -0.6.

My question which statistical test I should use for evaluating the difference between the two groups?

  TF    G-I G-II
  AATF  1   0
  ABL1  5   1
  AES   0   1
  AHR   1   2
  AIP   2   0
 APBB1  0   1
APEX1   2   1
  AR    0   2
ARNT    3   0
  • 1
    $\begingroup$ What metric do you wish to compare? Is it the mean r value? What is your hypothesis? $\endgroup$ – Ram RS Jul 15 at 13:38
  • $\begingroup$ Hi, I have co-expression map for all the human transcription factors. My hypothesis is that transcriptional targets of a transcriptional factor are among the highly co-expressed gene for that transcription factor. For that, I have divided my group into high and low co-exp genes $\endgroup$ – Riya Jul 15 at 13:44
  • 2
    $\begingroup$ abacus.bates.edu/~ganderso/biology/resources/… $\endgroup$ – Alex Reynolds Jul 15 at 17:22
  • 2
    $\begingroup$ Post a histogram or similar of the two groups, it would help to see if they have a particular distribution. $\endgroup$ – Devon Ryan Jul 16 at 7:18

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Browse other questions tagged or ask your own question.