mvTCR
mvTCR is a multimodal generative model to learn a unified representation across across TCR sequences and scRNAseq data and datasets for joint analysis of single-cell immune profiling data.
Installation
To install mvTCR follow these steps:
- Create a conda environment:
conda create -n mvTCR python=3.10 - Install mvTCR
pip install mvTCR - Install PyTorch e.g. v2.1.2 with the appropriate CUDA version
Tutorial
Please have a look at our tutorial notebooks found here.
Bugs and Errors
If you find any bugs or run into errors please report them to our GitHub.
Reproducibility
The reproducibility GitHub features experiments and code used in the publication. If you want to reproduce them, please use mvTCR v0.1.3 together with PyTorch v1.8.0 .
4 maintainers
Metadata
4 maintainers
Release files for mvtcr 0.2.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mvtcr-0.2.1.2.tar.gz | 44.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mvtcr-0.2.1.2-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 111.3 kB
Release files / mvtcr-0.2.1.2.tar.gz
| Download URL | mvtcr-0.2.1.2.tar.gz |
|---|---|
| Size | 44.9 kB |
| Tags | Source |
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Release files / mvtcr-0.2.1.2-py2.py3-none-any.whl
| Download URL | mvtcr-0.2.1.2-py2.py3-none-any.whl |
|---|---|
| Size | 66.4 kB |
| Tags | Python 2 Python 3 |
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