A linear mixed model framework to map multivariate context-specific eQTL using single-cell RNA-seq data.
Project description
CellRegMap
Cellular Regulatory Map (CellRegMap) is a linear mixed model approach to perform multi-context eQTL mapping by leveraging single cell RNA sequencing (scRNA-seq) data. It is related to the previously proposed StructLMM but importantly it can account for sample structure, including population structure and repeated observations for the same samples, e.g., multiple cells for the same donor.
The CellRegMap model and its applications to both real and simulated data are described in the CellRegMap manuscript.
We are working on more instructions and tutorials to facilitate usage of the package at this link!
Install
From your command line, enter
python3 -m pip install cellregmap
in your command line.
Development
To install it in development mode, enter
git clone https://github.com/limix/CellRegMap.git
cd CellRegMap
python3 -m pip install -e .
in your command line.
Running tests
From your command line, enter
python3 setup.py test
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file cellregmap-0.0.3.tar.gz
.
File metadata
- Download URL: cellregmap-0.0.3.tar.gz
- Upload date:
- Size: 21.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.12
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | ac98cbe6972777eda79e9bef7de611a3d61f4f1aedef3b74a2916a0d3cb3fff4 |
|
MD5 | 62f67a49710cdf9f2b97da2d131b1818 |
|
BLAKE2b-256 | 7c5a2d37d8aacbb496ddba6b42c718b4910194ac2cacecb14405743e46f31344 |
File details
Details for the file cellregmap-0.0.3-py3-none-any.whl
.
File metadata
- Download URL: cellregmap-0.0.3-py3-none-any.whl
- Upload date:
- Size: 23.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.12
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | c40cb72cfa633da5a9ceabb95c27a6b519e31dede99f45c61394d84abde53366 |
|
MD5 | 957025a7306b59b5a55190756c233d95 |
|
BLAKE2b-256 | 05127cb8e5604dd542979eca447d9b5dbe6c3c0299e57dd6b284613318e04820 |