CCCbank CCCbank: an integrated computational pipeline for CCC inference by flexibly combining inference methods and prior databases
Introduction
To facilitate practical applications of CCC inference tools, we developed an integrated computational pipeline, CCCbank, that enables flexible combinations between 16 LR inference methods and 13 LR databases. Via CCCbank, each method can be equipped with one or more LR databases or any other user-defined databases. CCCbank uses Seurat object of scRNA-seq data as input for CCC inference. The output of CCCbank includes inferred LR pairs and their scores, which can be used for further analysis or visualization.
Publications
ESICCC as a systematic computational framework for evaluation, selection, and integration of cell-cell communication inference methods
Cited by Luo, Jiaxin et al. “ESICCC as a systematic computational framework for evaluation, selection, and integration of cell-cell communication inference methods.” Genome research vol. 33,10 (2023): 1788-1805. doi:10.1101/gr.278001.123 (Google Schoolar as of February 23, 2024)
Credits
- Xiaoqiang Sun sunxq6@mail.sysu.edu.cn Investigator
School of Mathematics, Sun Yat-sen University, China
Community Ratings
Usability | Efficiency | Reliability | Rated By |
---|---|---|---|
0 user | |||
Sign in to rate |
Summary
Accession | BT007418 |
---|---|
Tool Type | Toolkit |
Category | Intercellular signaling data |
Platforms | Windows |
Technologies | Python2, Python3, R |
User Interface | Terminal Command Line |
Latest Release | 1.0 (February 23, 2024) |
Download Count | 229 |
Country/Region | China |
Submitted By | Xiaoqiang Sun |
Fundings
National Key R&D Program of China (2021YFF1200903)