zhengtaoxiao / single-cell-metabolic-landscape Goto Github PK
View Code? Open in Web Editor NEWPipeline for characterizing metebolic heterogeneity from single-cell RNA-seq data
License: MIT License
Pipeline for characterizing metebolic heterogeneity from single-cell RNA-seq data
License: MIT License
Hi zhengtaoxiao!
when i repeated your data, some errors produced.
error result as follows:
scimpute(file.path(outDir,"tumor.tpm"),infile="csv",outfile="csv",out_dir=file.path(outDir,"malignant_"),
Mine is only relatively shallow, so I do not know how to deal with, would like to ask you for advice. I hope you will give me your advice
Hello, I have a question about "TCGA_ pathway_activity". I don't know why this error occurred due to activity issues.
In code
TCGA_ exp_ file <- file.path("../Data/TCGA/",tumor,"exp.txt")
TCGA_ type_ file <- file.path("../Data/TCGA/",tumor,"type.txt")
I couldn't find these two files(exp.txt,type.txt) in the TCGA folder.
I sincerely look forward to your reply
in 5-PathwayActivity/scRNA_pathway_activity.R, when I run this:
#some genes occur in multiple pathways.
gene_pathway_number <- num_of_pathways(pathway_file,rownames(selected_impute_sce
[rowData(selected_impute_sce)$metabolic])
error occured:
Error in num_of_pathways(pathway_file, rownames(selected_impute_sce)[rowData(selected_impute_sce)$metabolic]) :
could not find function "num_of_pathways"
How to solve this problem? Thanks!
Hi Zhengtao,
Very nice work! I was wondering if your metabolic scoring algorithm can be used to compare the metabolic activity across different conditions for the same cell type (let's say, disease versus healthy)?
If so, what would you suggest me to do? I ran your pipeline in my dataset but no pathways are significant in disease versus healthy cells albeit there are significant changes of the metabolic genes between the two conditions. I tried to use another algorithm COMPASS but it took extremely long time to run so I still hope to use your approach if that's possible...
Many thanks in advance!
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.