A scalable cross-time Context Graph model for reconstructing tumor cell dynamic responses from single-cell perturbation transcriptomics.
Project description
scConGraph: a scalable cross-time Context Graph model
scConGraph is a scalable bi-layer graph model that efficiently integrates cross-time context information, enabling the comprehensive analysis of tumor cell dynamic responses from paired perturbed or time-seiries single-cell transcriptomics.
System requirements
scConGraph is now available for Linux, with a Windows version planned for recent release. scConGraph requires only a standard computer with enough RAM to perform in-memory computations.
Installation
CINEMA-OT requires python version 3.7+. Install directly from pip with:
pip install scConGraph
The LINE toolkit achieved in LINUX version should be downloaded and installed from https://github.com/tangjianpku/LINE.git before using scConGraph.
Tutorial
The vignette of scConGraph can be found in the project wiki.
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
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file scConGraph-0.1.15.tar.gz.
File metadata
- Download URL: scConGraph-0.1.15.tar.gz
- Upload date:
- Size: 13.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.9.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
739b0fc754afbe9149d51d841a56b6ab2915d3ed5279ea204f5fea85bc879fc0
|
|
| MD5 |
ca40ef3e8d5a92e83c3b64cba5a03ee8
|
|
| BLAKE2b-256 |
ad4ca979fbe0603a3b930883767eeae5dcbf4524e28eb2c4105f25fc3229e033
|
File details
Details for the file scConGraph-0.1.15-py3-none-any.whl.
File metadata
- Download URL: scConGraph-0.1.15-py3-none-any.whl
- Upload date:
- Size: 12.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.9.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e2e1bf7215c4258cf821aa91d4817ad0bdcd761b0aed01e06b0913e7dec17690
|
|
| MD5 |
e3ddffcdfbb3667b672ad6b9662d32ff
|
|
| BLAKE2b-256 |
e955e5f4bd74ca8242536411e8608b0e6a4d32776d4308ec759f4525f3a988d1
|
