MAIVC: Module-based Artificial Intelligence Virtual Cell
Learning atomic operations for virtual cell construction.
Installation
- Create a virtual environment
conda create -n MAIVC python=3.10 scipy numpy pandas scikit-learn && conda activate MAIVC
- Install PyTorch following the official instruction.
pip3 install torch torchvision --index-url https://download.pytorch.org/whl/cu126
- Install MAIVC
pip3 install MAIVC
Metadata
Release files for scCoord 1.6.99
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| sccoord-1.6.99.tar.gz | 43.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sccoord-1.6.99-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 96.9 kB
Release files / sccoord-1.6.99.tar.gz
| Download URL | sccoord-1.6.99.tar.gz |
|---|---|
| Size | 43.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
b9c64d53deb70fc58994649687422f51e8e15486119cf3d49faae8b47d1c6b2d
|
|
BLAKE2b-256 checksum How to use checksums |
18c4b3b8021f80bf190bb741bdeffe864dfbc40f2c8aa2216f0200e02c4b4ec1
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.10.18
|
Release files / sccoord-1.6.99-py3-none-any.whl
| Download URL | sccoord-1.6.99-py3-none-any.whl |
|---|---|
| Size | 53.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
0a5a118f6e3a5e0bed21e1c6eb351a6b513e22a210490ac4c51b31cb3f37abf9
|
|
BLAKE2b-256 checksum How to use checksums |
8f16a9914e354c3fa111333e94b5a7d9d6af8c81dfe0e6f93707a77615f85ce8
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.10.18
|