mnnpy
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chriscainx
mnnpy returns
Dear Chriscainx, I am using mnnpy to correct my single cell data. Before this, I compared mnnpy with scran's mnnCorrected function with two matrix (B1 <- matrix(rnorm(10000), ncol=50) # Batch 1 B2 <- matrix(rnorm(10000), ncol=50) # Batch 2) Although the return value of ref batch1 is the same, the returns of the batch2 are different. Besides, each MNN pairs is not the same (the total number is the same). Can you point out what causes the difference ? Does it matter when perform the downstream analysis?
I have tried some different parameters and keep them the same, indeed the results are different, but the whole expression profile across cells are similar. It looks like that you and scran's authors uses different scales. I do not know much about the algorithm , hope you can check it when you have time.
你复制一下网址再打开
On Jun 26, 2018, at 15:33, wangjiawen2013 [email protected] wrote:
I have tried some different parameters and keep them the same, indeed the results are different, but the whole expression profile across cells are similar. It looks like that you and scran's authors uses different scales. By the way, I cannot open the above hyperlink you send.
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