Dear all,

I am using the cor.test function (Spearman/Pearson correlation) to find coexpressed genes for a specific gene of interest in my microarray dataset (226 samples).

My question is now - what is the established cutoff for coexpression? Just the p-value results in a large number of coexpressed genes. I also categorised the genes according to correlation coefficient as in this list (see below), but is there any established cutoff > 0.5 or is indeed mainly the p-value used?

0-0.19 | very weak |

0.20-0.39 | weak |

0.40-0.59 | moderate |

0.60-0.79 | strong |

0.80-1.0 | very strong |

Thanks for advice!

Julia

Thanks for your answer.

I adjusted the p value, so it's around 0.18 but yes it's very low. Hence my question about an "established" cutoff. Any suggestions about a sensible cutoff here?

(The above list was also meant for negative correlation of course. I classified with the abs(correlation). I thought that was clear ;) - sorry)