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Can I merge Scissor results after performing them by subset? #50
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Hi
You can merge several cells together to obtain a pseudo-cell or metacell,
then perform Scissor on this reduced dataset.
Another alternative way is to run Scissor without network regularization,
which can alleviate the memory burden.
Hope these help.
Best,
Duanchen
…On Fri, 28 Apr 2023 at 16:26, ChoiJi-Hye ***@***.***> wrote:
Hi,
Thank you for developing Scissor.
I ran about 130,000 cells and received a memory error message.
'Error: cannot allocate vector of size 132.0 Gb'
Then, I am thinking about *running the cells in subsets and then
combining the results* instead of running all 130,000 cells at once.
*Is it okay to combine the results after performing them by subset?*
I'm worried that the results may differ from when I perform all the cells
at once.
Thank you for your help.
Sincerely,
Ji-Hye Choi
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Hi, @sunduanchen Thank you for your response! Could you please provide me with more information on 'Metacell' and 'Pseudo Cell'? I am wondering if there would be any issues if I performed subset analysis by dividing the cells into different cell types, such as T cells and epithelial cells, and analyzing them separately, Also, you gave me another option, but I'm not sure where it would be possible to skip the network regularization step. I'm sorry for having so many questions. Thank you for your help. Best regards, |
Hi,
Thank you for developing Scissor.
I ran about 130,000 cells and received a memory error message.
'Error: cannot allocate vector of size 132.0 Gb'
Then, I am thinking about running the cells in subsets and then combining the results instead of running all 130,000 cells at once.
Is it okay to combine the results after performing them by subset?
I'm worried that the results may differ from when I perform all the cells at once.
Thank you for your help.
Sincerely,
Ji-Hye Choi
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