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The formula to convert coef from log_eFC to log_2FC is not equal to coef/log_e(FC).
Let x be the fold change -> coef = log_e(x) -> e^(coef) = x -> coef.log_2(e) = log_2(x)
-> coef := coef.log_2(e)
And when using MAST, if I want to input all the cell types, do I only need to change "summaryCond <- summary(zlmCond, doLRT='groupstim.CD14_Monocytes')" to "....doLRT = list('groupstim.CD14_Monocytes', 'groupstim.B_cells', ...) and expand to all cell types in merge function to still be able to use MAST?
Thank you very much for helping me!
The text was updated successfully, but these errors were encountered:
Just FYI, here the MAST developer says "the base of the logarithm is whatever you set it to be when you log transform your counts", which means that you would wrongly do log2(FC)/ln(2) instead of ln(FC)/ln(2).
Best,
Simon
The formula to convert coef from log_eFC to log_2FC is not equal to coef/log_e(FC).
Let x be the fold change -> coef = log_e(x) -> e^(coef) = x -> coef.log_2(e) = log_2(x)
-> coef := coef.log_2(e)
And when using MAST, if I want to input all the cell types, do I only need to change "summaryCond <- summary(zlmCond, doLRT='groupstim.CD14_Monocytes')" to "....doLRT = list('groupstim.CD14_Monocytes', 'groupstim.B_cells', ...) and expand to all cell types in merge function to still be able to use MAST?
Thank you very much for helping me!
The text was updated successfully, but these errors were encountered: