two groups: wt and ko.
6 animals from each group.
方法一： 可以把其中一个WT 作为normalizer（fold change＝1），then based on
this WT,get the fold change of other WT and KO mice using ddCt.Now you get
12 fold change from each animal,then set WT fold change mean as 1, and get
KO mean fold change.
Now the question is could I calculate SD or SEM using the 6 fold change
number in each group?
方法2：Labmates 认为方法一不对。应该把6个WT set as normalizer (from the Ct
value), then your WT mean will be one and you get SD or SEM from the Ct
value directly.Based on the Ct's SD value, calculate the fold change SD.
This will give you the range of WT. But this way you could not get
individual mice fold change.
Any suggestions?
