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 1.6.93
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-1.6.93.tar.gz | 43.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sccoord-1.6.93-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 96.7 kB
Release files / sccoord-1.6.93.tar.gz
| Download URL | sccoord-1.6.93.tar.gz |
|---|---|
| Size | 43.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
2d5d8603fa2890f9bdfe589a32fbbfe0664a1c4b13086ed385a71127951370a3
|
|
BLAKE2b-256 checksum How to use checksums |
f848bf6081b3c53762dd1e094be0ac532c017d080c38d36e3966394ce3a6585e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.10.18
|
Release files / sccoord-1.6.93-py3-none-any.whl
| Download URL | sccoord-1.6.93-py3-none-any.whl |
|---|---|
| Size | 53.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
678308dde216373413800c52a470b41fff6b418d763f145c46b5ef3871920f66
|
|
BLAKE2b-256 checksum How to use checksums |
cfaa2418a9cd21f000663707fb29e02dff34237be90318777b6862f7e3db697c
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.10.18
|