I am doing a student project and have to analyse the western blot results. I have a control group and 6 different test groups. The null hypothesis being, that the protein expression is same in all the groups. So I run 7 lanes at once.
Technically, the blot's to be repeated 3 times but I've managed to run it just once. I have normalized the densitometry values to the control group.This means that protein expression in the control is taken as 1 and that of the rest are shown relative to this control group. (Like- 1.025, 0.987 etc.)
What kind of a statistical test should i put in? Do stats even work for single observations?
Since I've managed to run the blot just once, it is a single observation and I don't have a mean and SD. Does that matter? ANOVAs and any post hoc test would require a spread of values, right?
Do i read the densitometry thrice so as to get a mean and an SD?
Even if I read thrice, isn't it that ANOVA assumes them to be in normal distribution? I guess for that we need more than 20 observations.
So my questions,
Can I say comment upon significance in differences when I have just one observation in each group?
Even if I read the same blot thrice, I expect to have slightly different values. So can I use them as three observations (I'll surely mention in my report if I did so :) ). If yes, then which test to apply?
- If I read them thrice, since these are normalized values, all three values for the control group are going to be 1. So the SD will be zero. Will that cause a problem?
I'm a medical student and as is apparent, my stats are a little weak. Please excuse me if the questions are too obvious or foolish.