Localized Marker Detector

Localized Marker Detector (LMD) is a computational framework designed for the identification of gene expression markers localized to specific cell populations within single-cell RNA sequencing data. The major workflow of LMD comprises the following three main steps:

• Step1. Constructing a cell-cell affinity graph
• Step2. Diffusing the gene expression value across the cell graph
• Step3. Assigning a score to each gene based on the dynamics of its diffusion process
• Optional Downstream tasks
  • Identifying gene modules and characterizing functional cell groups
  • Cross-sample comparison

Installation

LMD can be installed in R as follows:

install.packages("devtools")
devtools::install_github("KlugerLab/LocalizedMarkerDetector")

library("LocalizedMarkerDetector")

Docker Installation

Alternatively, we provide a Docker environment with LMD and all its dependencies pre-installed. The pre-built Docker image can be downloaded using:

docker pull ruiqi0130/lmd-rstudio:latest

and to run the docker container:

docker run -it --rm --name lmd -p 8029:8787 -v /data/:/data/ docker.io/ruiqi0130/lmd-rstudio:latest

Here, change /data:/data to <your_local_data_directory>:/data. A rstudio will be on port 8029.

Example tutorial

Please check LMD tutorial.

References

References of LMD functions can be found here.