Tools for mechanistic gene network inference from single-cell data
Project description
Harissa (HARtree approximation for Inference along with a Stochastic Simulation Algorithm) is a Python package for both inference and simulation of gene regulatory networks, based on stochastic gene expression with transcriptional bursting. It was implemented in the context of a mechanistic approach to gene regulatory network inference from single-cell data.
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
harissa-3.0.4.tar.gz
(12.4 kB
view details)
File details
Details for the file harissa-3.0.4.tar.gz.
File metadata
- Download URL: harissa-3.0.4.tar.gz
- Upload date:
- Size: 12.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.2 importlib_metadata/4.11.3 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.63.0 CPython/3.8.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c088c2d32dabe6a8df66cd94e7965794fb699d6389e80b73ca100fbd4b1d2bad
|
|
| MD5 |
a8ba5259f17124bda77bb5f67d5021ae
|
|
| BLAKE2b-256 |
eb948380b8b6a7bc8bcd3ecea8d25c23259d5ee2aa4575068ae6a63a62950f49
|