https://github.com/broadinstitute/dlbcl_nat_med_april_2018
Science Score: 26.0%
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✓DOI references
Found 4 DOI reference(s) in README -
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○Scientific vocabulary similarity
Low similarity (5.9%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: broadinstitute
- Language: R
- Default Branch: master
- Size: 60.5 MB
Statistics
- Stars: 14
- Watchers: 36
- Forks: 7
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
This repository contains instructions on how to build and run a docker image containing the scripts used to generate clusters used to identify DLBCL subtypes in the publication:
Chapuy, Stewart, & Dunford et al. "Molecular subtypes of diffuse large B cell lymphoma are associated with distinct pathogenic mechanisms and outcomes." Nature Medicine, 30 April 2018. https://doi.org/10.1038/s41591-018-0016-8
Based on a modified consensus clustering algorithm first applied to expression data in the publication:
Brunet et al. "Metagenes and molecular pattern discovery using matrix factorization." PNAS March 23, 2004. 101 (12) 4164-4169; https://doi.org/10.1073/pnas.0308531101
Please cite both publications if referring to this work.
To run the module, first CD into the 'consensus_clustering' directory and build the docker container using the Dockerfile there:
cd consensusclustering docker build . -t dlbclconsensus_clustering
Then run the provided wrapper script in the docker container using the following command:
docker run --mount type=bind,source=${PWD}/inputdata,target=/Rscripts/inputdata --mount type=bind,source=${PWD}/outputdir,target=/Rscripts/outputdir dlbclconsensusclustering Rscript runconsensusclustering.R
Owner
- Name: Broad Institute
- Login: broadinstitute
- Kind: organization
- Location: Cambridge, MA
- Website: http://www.broadinstitute.org/
- Twitter: broadinstitute
- Repositories: 1,083
- Profile: https://github.com/broadinstitute
Broad Institute of MIT and Harvard
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Dependencies
- R >= 1.7.0 depends
- debian jessie build