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 1.7.4
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-1.7.4.tar.gz | 47.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sccoord-1.7.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 101.4 kB
Release files / sccoord-1.7.4.tar.gz
| Download URL | sccoord-1.7.4.tar.gz |
|---|---|
| Size | 47.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
675bb1c6942b74ff3a8407111bec7655d2bac40e89f7ebefa9eabf6e035cf8e3
|
|
BLAKE2b-256 checksum How to use checksums |
a140cc90aed5a2762bf607f57a0aa11de20fcebe01a3cc4e7bc692bc23d63cc3
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.10.18
|
Release files / sccoord-1.7.4-py3-none-any.whl
| Download URL | sccoord-1.7.4-py3-none-any.whl |
|---|---|
| Size | 53.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
d59af1fef1bb322262227286d690b8851774ac306eeff2a016ba378fbfabc696
|
|
BLAKE2b-256 checksum How to use checksums |
466612202d9f570f2ee6fab3ce1f9ca65d065c5388e19fea4bc9d68c01330a0e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.10.18
|