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Normalization with different number of samples in experiments #37

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PolinaLip opened this issue Jun 18, 2020 · 0 comments
Open

Normalization with different number of samples in experiments #37

PolinaLip opened this issue Jun 18, 2020 · 0 comments

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@PolinaLip
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I tried to run normalizeTMT. I have 13 batches (experiments), two of them have 10 labeled samples and the rest batches have 6 samples. It seems that normalization depends on the number of samples inside batches.
This is how the normalization looks if I take all samples (10 in two experiments and 6 samples in each of the rest):
Allsamples
And this is a plot if I leave 6 samples in each experiment:
6batches_ineach_experiment

Is there a way to normalize data without removing any samples?

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