Diffusion model-based generative framework designed to predict transcriptomic changes across diverse cell types in response to a wide range of environmental changes.
Project description
squidiff: Predicting cellular development and responses to perturbations using a diffusion model
Squidiff is a diffusion model-based generative framework designed to predict transcriptomic changes across diverse cell types in response to a wide range of environmental changes.
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 squidiff-1.0.6.tar.gz.
File metadata
- Download URL: squidiff-1.0.6.tar.gz
- Upload date:
- Size: 29.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.10.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
4c3da2b7b6e6932a335e99ecd943b90a7cc03e7ed7064c3115971be320309bb3
|
|
| MD5 |
059e354dd2d70fb745bed77c5dc7937f
|
|
| BLAKE2b-256 |
f1c49cc0d8aa677e6701e8379c6cadfe4b24f5b8cb6f19dbea6ebddc598eb17b
|
File details
Details for the file Squidiff-1.0.6-py3-none-any.whl.
File metadata
- Download URL: Squidiff-1.0.6-py3-none-any.whl
- Upload date:
- Size: 32.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.10.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
96a8536a67c054b5c9ba87497dac04cb08360f5ad65a0639f47c2445054e914b
|
|
| MD5 |
a7aceab7cabafe0af6e0101f4cd7bc5e
|
|
| BLAKE2b-256 |
5008d30069f7f303b419472f604cc3b336bd7353c739adee71e7f71f2a15cb5e
|
