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
Release files for scCoord 1.6.77
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-1.6.77.tar.gz | 47.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sccoord-1.6.77-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 123.6 kB
Release files / sccoord-1.6.77.tar.gz
| Download URL | sccoord-1.6.77.tar.gz |
|---|---|
| Size | 47.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
3d0cbf5e5160cb6491935cb0595744dafa835e71c1c82ccc2853ebd06c83ba09
|
|
BLAKE2b-256 checksum How to use checksums |
076ff3619d8ed84c6a7490e1185b8ee3cec350c3566b548114b307674970b69c
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.10.18
|
Release files / sccoord-1.6.77-py3-none-any.whl
| Download URL | sccoord-1.6.77-py3-none-any.whl |
|---|---|
| Size | 76.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
26b854fbb4fc055d434ce3f993d315285c1e8160fb9b3ba4832f4015ed92cddc
|
|
BLAKE2b-256 checksum How to use checksums |
08e23518bd7de574fa096450e7d4fb6a4df40c2e10c11e8ef3843467c14513bc
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.10.18
|