Time-series + one factor, how to fix non-equal sample size between groups

Hello

My data is a time-series dataset with one experimental factor . Unfortunately, I lost one biological replicate for one experimental group. This has resulted in unequal sample sizes across different time points : specifically, I have 10 replicates for three time points but only 9 replicates for one time point. I am interested in understanding how the changes in metabolites over time differ between the experimental groups. Due to the unequal sample sizes, I cannot use the time-series + one factor option , and consequently, I am unable to perform MEBA (Multivariate Empirical Bayes Analysis) . How would you suggest solving this issue? Alternatively, do you recommend some other analysis instead of MEBA?

Thank you!
Taolin

I had this happen. I loaded one replicate identical to the other replicate, then proceeded with processing. Once I got through normalization to data analysis, I went back and removed the unwanted replicate and went through the normal preprocessing.

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