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I have multiples input tables from enricher.
Let's say 4 output of enricher analysis with home-made TERM2GENE and TERM2NAME. The analysis itself goes very well. Now let's look at dimensions of each enricher output:
df<-list(a=enricher1, b=enricher2, c= enricher3, d=enricher4)
df_merged=merge_result(df) # It works perfectly
dim(df_merged): 28,12
`
Why df_merged has less rows than the sum of all inputs tables in the list (10 + 5 + 20 + 50 = 85)
How does merge_result works ? Is there any stats involved here?
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Hi,
I have multiples input tables from enricher.
Let's say 4 output of enricher analysis with home-made TERM2GENE and TERM2NAME. The analysis itself goes very well. Now let's look at dimensions of each enricher output:
`
Dimension of enricher output
dim(enricher1@result): 10, 12
dim(enricher2@result): 5, 12
dim(enricher3@result): 20, 12
dim(enricher4@result): 50, 12
Merging outputs
df<-list(a=enricher1, b=enricher2, c= enricher3, d=enricher4)
df_merged=merge_result(df) # It works perfectly
dim(df_merged): 28,12
`
Why df_merged has less rows than the sum of all inputs tables in the list (10 + 5 + 20 + 50 = 85)
How does merge_result works ? Is there any stats involved here?
Thanks
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