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https://github.com/andrewdhawan/gbmdeconvoluter-local-tabula-rasa

A Deconvolution Tool For Glioblastoma (GBM) Datasets

https://github.com/andrewdhawan/gbmdeconvoluter-local-tabula-rasa

Science Score: 23.0%

This score indicates how likely this project is to be science-related based on various indicators:

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    CITATION.cff file
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    codemeta.json file
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    .zenodo.json file
  • ✓
    DOI references
    Found 1 DOI reference(s) in README
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    Academic publication links
    Links to: biorxiv.org
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    Scientific vocabulary similarity
    Low similarity (7.7%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

A Deconvolution Tool For Glioblastoma (GBM) Datasets

Basic Info
  • Host: GitHub
  • Owner: andrewdhawan
  • Language: R
  • Default Branch: main
  • Homepage:
  • Size: 48 MB
Statistics
  • Stars: 0
  • Watchers: 0
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Fork of GliomaGenomics/GBMDeconvoluteR
Created over 1 year ago · Last pushed over 1 year ago

https://github.com/andrewdhawan/GBMDeconvoluteR-local-tabula-rasa/blob/main/ 



# Overview

GBMDeconvoluteR is a Shiny-based web application for estimating the abundance of immune, stromal and neoplastic cell populations using bulk expression profiles, obtained from grade IV glioblastoma (GBM) samples.

# Usage

To run the hosted version of this application please visit:



If you wish to run this application on your local machine, this can be easily be done by running first forking this repository and the using the `runGithub()` function from the `shiny` R package.

# How to cite

Currently, our paper is in preprint and has not been certified by peer review, though please cite:

``` bibtex
@article {Ajaib2022.11.19.517187,
    author = {Ajaib, Shoaib and Lodha, Disha and Pollock, Steven and Hemmings, Gemma and Finetti, Martina A. and Gusnanto, Arief and Chakrabarty, Aruna and Ismail, Azzam and Wilson, Erica and Varn, Frederick S and Hunter, Bethany and Filby, Andrew and Brockman, Asa A. and McDonald, David and Verhaak, Roel GW and Ihrie, Rebecca A. and Stead, Lucy F.},
    title = {GBMdeconvoluteR accurately infers proportions of neoplastic and immune cell populations from bulk glioblastoma transcriptomics data},
    elocation-id = {2022.11.19.517187},
    year = {2022},
    doi = {10.1101/2022.11.19.517187},
    publisher = {Cold Spring Harbor Laboratory},
    URL = {https://www.biorxiv.org/content/early/2022/11/21/2022.11.19.517187},
    eprint = {https://www.biorxiv.org/content/early/2022/11/21/2022.11.19.517187.full.pdf},
    journal = {bioRxiv}
}
```

Owner

  • Login: andrewdhawan
  • Kind: user

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