<p>How to remove orig ident. already data normalized, scaled assigned cluster/ Example, I have 4 sample data. like 1-control, 2- treatment with A, 3- treatment with B, and 4- treatment with C,
I want to remove. I want to remove 3- treatment with B, and want to use all 3 ident for downstream analysis. without doing again rescaling and assigning cluster cell type. is it possible?
if yes please tell Sauret r coding so i can run analysis in R</p>

CC BY-SA 4.0
2023-04-03T05:04:51.283Z
Please clarify your specific problem or provide additional details to highlight exactly what you need. As it's currently written, it's hard to tell exactly what you're asking.
Community
CC BY-SA 4.0
2023-04-03T09:18:22.947Z
Please [edit] your question and add an example of your input data (use the [formatting tools](https://bioinformatics.stackexchange.com/help/formatting) and format it as code by selecting the text and pressing the `{}` button) and then show what output you would want from that example so we can understand what you need.
terdon
CC BY-SA 4.0
2023-04-03T19:07:56.450Z
The answer depends on how your Seurat object has been created and what the metadata looks like, so please heed terdon's request and provide a representative example of your data and the code you have used.
Cloudberry
CC BY-SA 4.0
2023-04-04T19:58:19.263Z
Can you please add some more filler words into your question? It's very difficult to understand what you're asking in the abbreviated summary format that you've used here.
gringer
<r><rna-seq><scrnaseq><seurat>
How to remove orig ident. already data normalized, scaled assigned cluster/
# How to remove orig ident. already data normalized, scaled assigned cluster/

(Asked by: username_0 on 2023-04-02)

How to remove orig ident. already data normalized, scaled assigned cluster/ Example, I have 4 sample data. like 1-control, 2- treatment with A, 3- treatment with B, and 4- treatment with C,
I want to remove. I want to remove 3- treatment with B, and want to use all 3 ident for downstream analysis. without doing again rescaling and assigning cluster cell type. is it possible?
if yes please tell Sauret r coding so i can run analysis in R

**Tags:** r, rna-seq, scrnaseq, seurat
> **Comments:**
> **username_1**: Please clarify your specific problem or provide additional details to highlight exactly what you need. As it's currently written, it's hard to tell exactly what you're asking.  
> **username_2**: Please [edit] your question and add an example of your input data (use the [formatting tools](https://bioinformatics.stackexchange.com/help/formatting) and format it as code by selecting the text and pressing the `{}` button) and then show what output you would want from that example so we can understand what you need.  
> **username_3**: The answer depends on how your Seurat object has been created and what the metadata looks like, so please heed terdon's request and provide a representative example of your data and the code you have used.  
> **username_4**: Can you please add some more filler words into your question? It's very difficult to understand what you're asking in the abbreviated summary format that you've used here.  

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