Body: <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>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2023-04-03T05:04:51.283Z
Comments.Text: 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.
Comments.UserDisplayName: Community
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2023-04-03T09:18:22.947Z
Comments.Text: 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.
Comments.UserDisplayName: terdon
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2023-04-03T19:07:56.450Z
Comments.Text: 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.
Comments.UserDisplayName: Cloudberry
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2023-04-04T19:58:19.263Z
Comments.Text: 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.
Comments.UserDisplayName: gringer
Tags: <r><rna-seq><scrnaseq><seurat>
Title: How to remove orig ident. already data normalized, scaled assigned cluster/
ThreadText: # 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 username_2'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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  ## 0 answers
  
  