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 1.6.83
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-1.6.83.tar.gz | 42.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sccoord-1.6.83-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 122.9 kB
Release files / sccoord-1.6.83.tar.gz
| Download URL | sccoord-1.6.83.tar.gz |
|---|---|
| Size | 42.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
b69ffd6a5198d33b32f572c9f412c24c1667ff3735151c8fc5777c5f771a9aee
|
|
BLAKE2b-256 checksum How to use checksums |
bae5c3b097f3ddfc21ec6d454a163584b7d49d0eea88db737dbbc55bd76c9493
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.10.18
|
Release files / sccoord-1.6.83-py3-none-any.whl
| Download URL | sccoord-1.6.83-py3-none-any.whl |
|---|---|
| Size | 80.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
deaad964a673720a6732905a9a07efb2973be4eaed96dc8c45f54c650e2402ed
|
|
BLAKE2b-256 checksum How to use checksums |
f338f765845b1e6bab9ae31cc4429c66bbf3b11ae226f10f311caa1ae285dfb6
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.10.18
|