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which number of cells is proper to do all the downstram analysis?

This is not the right way to think about this problem. You dont want to include cells with bad quality metrics just to obtain a sufficient number of cells. If you dont have enough pass filter cells to analyze, you need to generate more data. There is no magic number for the right number of cells but I feel like any cluster with fewer than 100-200 cells is not going to generate data of sufficient quality to analyze.

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Answer selected by tao-bioinfo
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