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Thank you very much for informative tutorial. You helped us a lot.❤
Thanks for the informative videos.
Thank you for this tut❤️❤️
Professor, thanks for your video. I have one question, could i use scDblfinder with mergerd data? Thanks.
yes
### Identify doublets using scDblFinderlibrary(Seurat)library(tidyverse)suppressPackageStartupMessages(library(scDblFinder))set.seed(123)# 1. Create Seurat ObjectsNML1
Dear professor could you make a video for stemness features identification
Sir, in the creation of Seurat object step, why did you give the condition min.cells = 3 ? Is 3 cells a default threshold value ? Also how to fix the threshold value of nFeature_RNA and nCount_RNA ?
you can change it according to your data, default means you don't need to set it
Sir, how to fix the threshold value in quality control filtering according to our data ?
they are determined by the violin plot
Thank you very much for informative tutorial. You helped us a lot.❤
Thanks for the informative videos.
Thank you for this tut❤️❤️
Professor, thanks for your video. I have one question, could i use scDblfinder with mergerd data? Thanks.
yes
### Identify doublets using scDblFinder
library(Seurat)
library(tidyverse)
suppressPackageStartupMessages(library(scDblFinder))
set.seed(123)
# 1. Create Seurat Objects
NML1
Dear professor could you make a video for stemness features identification
Sir, in the creation of Seurat object step, why did you give the condition min.cells = 3 ? Is 3 cells a default threshold value ? Also how to fix the threshold value of nFeature_RNA and nCount_RNA ?
you can change it according to your data, default means you don't need to set it
Sir, how to fix the threshold value in quality control filtering according to our data ?
they are determined by the violin plot