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 1.6.66
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-1.6.66.tar.gz | 66.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sccoord-1.6.66-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 142.6 kB
Release files / sccoord-1.6.66.tar.gz
| Download URL | sccoord-1.6.66.tar.gz |
|---|---|
| Size | 66.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
b9df9fb9f16c46173550c71904bb16961fd55f9782908dbd33d015edefff230f
|
|
BLAKE2b-256 checksum How to use checksums |
8db77c2c2adc8de00e7569ca98841cb84a4fe9d5f16541cdd2b672aed2c5aca2
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.10.18
|
Release files / sccoord-1.6.66-py3-none-any.whl
| Download URL | sccoord-1.6.66-py3-none-any.whl |
|---|---|
| Size | 75.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
163dafb1d8b44e0c53118b49a18381e5f1759a800b88419eba0095ec28614bc8
|
|
BLAKE2b-256 checksum How to use checksums |
38210461c0fb6cb338a343f957c280c1d3b2d3b23c8a8a2ca9f8d1817b6cca48
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.10.18
|