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2 hours ago by

I am running a few bioinformatics analysis on free data sets, and then we will validate it in vivo. To increase our chances of finding something relevant, we decided to use the following criteria:

  1. the transcript is diferentially expressed in at least one group, compared to control group (FC>2, FDR<0.05)
  2. the transcript has an overall high expression on the samples
  3. the transcript is part of a coexpression network
  4. the transcript has a high network centrality

my main concern is on the criteria 2. the dataset has 12 groups and about 300 samples. How should I determine if the transcript has a high overall expression? my first thought was to use a geometric or arithmetic average or median, but I am skeptical about it.

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