This method is described in the publication from Biorxiv, 2018 available at [https://www.biorxiv.org/content/10.1101/426593v2]

To cite our software, please use the independent DOI from Zenodo.

ICTD web application demo is available at : [https://shiny.ph.iu.edu/ICTD/]

ICTD web application tutorial is available at : [https://github.com/changwn/ICTD/blob/master/vignettes/ICTD_server_tutorial.md]

Backup link: [https://ictd.ccbb.iupui.edu]

#install ICTD
install.packages("devtools")
Sys.setenv("R_REMOTES_NO_ERRORS_FROM_WARNINGS" = "true")
devtools::install_github("changwn/ICTD")

library(ICTD)

data_bulk = GSE72056_diri_example[[1]]
ictd_result <- ICTD(data_bulk)

#Return value is a list, which the first element is the predicted proportion and 
#the second element is the predicted markers of ICTD

If you have any questions or problems when using ICTD, please feel free to open a new issue here. We will fix the new issue ASAP. You can also email the maintainers and authors below.

• Wennan Chang ([email protected])

PhD candidate at BDR group, Indiana University School of Medicine

• Chi Zhang ([email protected])

Assistant Professor

Department of Medical & Molecular Genetics, Indiana University School of Medicine

We also provide a Docker image to recreate the compute environment. See the Dockerfile for more details.

[https://hub.docker.com/r/wnchang/ictd]

Using the Docker image could void the conflict issue that R version and several R packages version confict.

For more details about the Docker, please see Docker documentation page [https://docs.docker.com/].