Closed jhsiao999 closed 8 years ago
I found that the genes identified by OEFinder as "overexpressed" distribute evenly across all levels of gene expression (averaged across cells)....Need to look more into this and see whether we need to remove all these genes before downstream analysis...
That's weird. How do they identify over-expressed genes?
They fit a quadratic function across the capture sites (organized in groups of A, B, C, D, etc.) for each of the genes independently. The fitted quadratic function is evaluated against a function assuming linear relationship between capture site and expression level for statistical significance. The p-value for each gene is computed via permutation; a p-value of .01 indicates that 1% of the 100,000 permutated samples show a statistically significant quadratic relationship between the capture sites and the expression levels.
Note that the default output setting is p-value < .01, which is 1000 out of 10,000 permutations, a not so "rare" number.
Take-home notes here:
Do we trust OEFinder? Shall we run downstream analysis after removing these genes?