Multi-Omics integration and VIsualization in Cancer Subtyping
The goal of MOVICS is to provide a unified interface for 10 state-of-the-art multi-omics clustering algorithms, and standardizes the output for each algorithm so as to form a pipeline for downstream analyses. MOVICS incorporates the most commonly used downstream analyses in cancer subtyping researches and enables creating feature rich customizable visualizations with minimal effort.
Sys.setenv(R_REMOTES_NO_ERRORS_FROM_WARNINGS="TRUE")
if (!require("devtools")) install.packages("devtools")
devtools::install_github("xlucpu/MOVICS", host = "https://api.github.com")
A detailed guide of how to use MOVICS could be find in the HTML vignette by typing the following code to R session.
browseVignettes("MOVICS")
Please email to [email protected] if you have any questions, bug reports, or suggestions for improving MOVICS.
If you use MOVICS R package in published research, please cite:
- HAVE NOT BEEN PUBLISHED
I would like to express my gratitude to Dr. Morgane Pierre-Jean for the inspiration brought by the study of evaluating unsupervised methods for multi-omics data integration. I also want to thank Dr. Enyu Lin for the helping in calculation and visualization of fraction genome altered, and to thank Dr. Rongfang Shen for the assistance in visualization of Transitions and Transversions. At last, sincere thanks to the brilliant contributors of all the functions incorporated in MOVICS package.