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 1.6.97
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-1.6.97.tar.gz | 43.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sccoord-1.6.97-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 96.8 kB
Release files / sccoord-1.6.97.tar.gz
| Download URL | sccoord-1.6.97.tar.gz |
|---|---|
| Size | 43.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
ef8801134b16a8ea025a7e5f70fca76c8fb8730ab2d0d6bf268e0dbc94204bea
|
|
BLAKE2b-256 checksum How to use checksums |
ff491781fecfd3381ee2b67146d8b98edcb299bc940554edbaeea294a4b6b370
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.10.18
|
Release files / sccoord-1.6.97-py3-none-any.whl
| Download URL | sccoord-1.6.97-py3-none-any.whl |
|---|---|
| Size | 53.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
ddb9fe17e91f035d02b48d82ca55db370c763db5430932d0b2ea1e088a269558
|
|
BLAKE2b-256 checksum How to use checksums |
06b099cc3de45b901da416f77fc20fd42ceea8a72f1808d8c065c24938d69c9e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.10.18
|