Hi everyone ,
I'm fairly new here and currently working in a biology lab for my master's internship.
I'm in charge of doing the single cell analysis of foetal tissues and I came across some questions.
After running any clustering algorithm based on cell expression profiles, how one can asses the goodness of the fit ? I've seen here and there people searching to tackle this problem with p-values : I don't find relevant to compute p-values of expression profile on data clustered based on their expression profile ( data dredging ? )
What do you guys use in that case ? Cluters' Silhouette width ? Hopkin's test ? Cohen's d ? I'm kind of lost here.
Thanks a lot for reading me !