Quality control, preprocessing and analysis of omics data for machine learning
Project description
QCP-Omics
Installation
From PyPI
Requires Python version >= 3.11.
- Create a virtual environment:
python3 -m venv .venv - Activate it:
source .venv/bin/activate - Install the tool:
pip install qcp-omics - Verify installation:
qcp
Singularity (on HPC) - recommended
- Load singularity:
module load singularity - Pull the image from docker:
singularity pull qcp-omics.sif docker://georgelepsaya/qcp-omics:latest - Verify installation:
singularity run qcp-omics.sif
Instructions
will be added later
{
"dataset_type": "clinical | genomics | proteomics",
"dataset_path": "dataset/path.csv | .tsv",
"metadata_path": "metadata/path",
"output_path": "output/path",
"features_cols": false,
"en_header": true,
"is_raw": true,
"steps_to_run": ["step 1", "step 2"],
"dtypes": {
"feature1": "type",
"feature2": "type"
}
}
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