Again, what does a p-value even tell you in this context? Unless there's heterogeneity within the population a change in family size of any amount always constitutes a change. There's no additional coherent concept of significance that can be attached to that.
gene family expansion statistical test
Hi
I want to run a statistical test to identify gene families (GFs) with a significant expansion/loss of genes between three species (A,B and C).
For each species I have the number of genes for each gene family:
A B C TOTAL
GF_1 50 50 50 150
GF_2 100 20 50 170
GF_3 7 2 1 10
GF_X ....
I searched in the available literature, and either Fisher, Chi-squared or a binomial test are proposed, but I can not find which one is the best to apply on my data?
Any help is much appreciated.
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We usually use fisher exact test to detect the expansion and contraction of gene families. But for phylogenomics analysis, l prefer using CAFE.
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Why do you need to assign a p-value to this? I don't think that makes any sense in this context (unless there's heterogeneity within members of each species...but that would vary by gene family).