https://github.com/wuaipinglab/ImmuCC

Cell-Centric View of Tissue Transcriptome Measuring Cellular Compositions of Immune Microenvironment From Mouse RNA-Seq Data.
https://github.com/wuaipinglab/ImmuCC

deconvolution gene-expression immunoinformatics signature-genes

Last synced: 17 days ago
JSON representation

Cell-Centric View of Tissue Transcriptome Measuring Cellular Compositions of Immune Microenvironment From Mouse RNA-Seq Data.

• Host: GitHub
• URL: https://github.com/wuaipinglab/ImmuCC
• Owner: wuaipinglab
• Created: 2016-10-17T02:32:38.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2021-11-02T08:26:18.000Z (over 2 years ago)
• Last Synced: 2024-02-28T21:31:39.991Z (4 months ago)
• Topics: deconvolution, gene-expression, immunoinformatics, signature-genes
• Language: R
• Homepage: http://218.4.234.74:3200/immune/
• Size: 2.16 MB
• Stars: 22
• Watchers: 4
• Forks: 25
• Open Issues: 7
• Metadata Files:
  • Readme: README.md

Lists

• awesome-deconvolution - ImmuCC - Centric View of Tissue Transcriptome Measuring Cellular Compositions of Immune Microenvironment From Mouse RNA-Seq Data ([Chen et al 2017](https://www.nature.com/articles/srep40508); tags: immune cells; blood cells; mouse; rna-seq). (Methods)

README

        

Description for each files.

======================================================================================================

1.ImmuCellDB

------------------------------------------------------------------------------------------------------

The scripts used to preprocess the microarray data.

------------------------------------------------------------------------------------------------------

2.tissue_immucc

------------------------------------------------------------------------------------------------------

Tissue specific signature matrix developed for tissue_ImmuCC.

3.webserver

------------------------------------------------------------------------------------------------------

The scripts use to preprocess RNA-Seq data and the signature matrix usedd in seq_ImmuCC model.

4.Microarray_Deconvolution.R

------------------------------------------------------------------------------------------------------

The scripts used for array_ImmuCC.

5.flow_cytometry.csv

------------------------------------------------------------------------------------------------------

The flow cytometry data used in array_ImmuCC and seq_ImmuCC.