Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Module_Analysis:Shared Transcriptional Programs #3

Open
hwbdhuidhcoi opened this issue Dec 7, 2023 · 0 comments
Open

Module_Analysis:Shared Transcriptional Programs #3

hwbdhuidhcoi opened this issue Dec 7, 2023 · 0 comments

Comments

@hwbdhuidhcoi
Copy link

in your article,you saied use rPCA to intergrate all sample's tumor spot,then use like snn method clustered into 6 distinct cluster and use findallmarkers function to find cluster's marker gene.

but in your Rscript Module_Analysis:Shared Transcriptional Programs ,you used a totally different way to find these 6 clusters,first run clustering for each tumor sample ,and find cluster's marker gene for each sample ,then you filtered these marker gene by a (fold change>2 & top50 frequency across all sample ) way.then you use these filtered gene to subset all_sample_merged spot-gene matrix,and use this subset matrix to cor,then hclust this cor matrix ,and you come to 6 clusters

my question is why your article describe is totally different with your R script code.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant