https://github.com/bostongene/pdac.tme.george
Science Score: 26.0%
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Repository
Basic Info
- Host: GitHub
- Owner: BostonGene
- License: other
- Language: HTML
- Default Branch: main
- Size: 27.5 MB
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- Stars: 2
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Metadata Files
README.md
PDAC Tumor Microenvironment Classification
This repository contains the code and resources for classifying the tumor microenvironment (TME) of pancreatic ductal adenocarcinoma (PDAC) based on functional gene signatures (FGEs) calculated on bulk RNA-Seq or microarray gene expressions data.
Overview
PDAC presents a complex tumor environment, which has historically posed challenges in the development of reliable predictive biomarkers for targeted therapies and immunomodulation. To address this, we've implemented a classification approach based on transcriptomic profiling of the TME.
Four TME subtypes were developed: * Immune Enriched (IE) * Immune Enriched, Fibrotic (IE/F) * Fibrotic (F) * Immune Depleted (D)
Publication
Developed classification is described in details in the manuscript.

Features
This repository contains: + Data * PDAC Meta-Cohort: annotation & calculated FGEs for all samples * ICGC PACA-CA (test cohort): annotation & expressions + Genesets * genesets/PAAD_genesets.gmt - table of all used genesets + Code * utils/ - scripts for data preprocessing, ssGSEA score calculation, median scaling and plots * Notebook MFPTMEclassificataion.ipynb with a classification of ICGC PACA-CA samples into four TME subtypes using supervised clustering
Getting Started
Prerequisites
- Python 3.x - Python 3.9 is advised
- Required Python libraries: please see requirements.txt
### Installation
Clone the repository:
git clone https://github.com/BostonGene/PDAC.TME.George.gitNavigate to the repository directory:cd PDAC.TME.GeorgeInstall required dependencies:
python3.9 -m venv venv source venv/bin/activate venv/bin/python3.9 -m pip install --upgrade pip pip install --no-deps -r requirements.txt jupyter nbextension enable --py widgetsnbextension python -m ipykernel install --user --name=pdac_tme_venv
License
Licensed by BostonGene Licence -- for more info please see LICENSE file
Please direct any inquiries concerning usage to askusepermission@bostongene.com.
© 2023 BostonGene Corporation.
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