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 1.6.81
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-1.6.81.tar.gz | 39.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sccoord-1.6.81-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 115.8 kB
Release files / sccoord-1.6.81.tar.gz
| Download URL | sccoord-1.6.81.tar.gz |
|---|---|
| Size | 39.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
b55163c87b1f69c495429930416daa007d8edb2abe58b4eb88a2bf6356d0bec2
|
|
BLAKE2b-256 checksum How to use checksums |
9d9f47075e3888a615b115b96828ac9af3cae75a54fa00c698735cf4adc1c04d
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.10.18
|
Release files / sccoord-1.6.81-py3-none-any.whl
| Download URL | sccoord-1.6.81-py3-none-any.whl |
|---|---|
| Size | 76.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
9c15cca47899607cc440a08f5a1afb8a4c2a13506a517f3bb88cb05ef7dd80d3
|
|
BLAKE2b-256 checksum How to use checksums |
ac6036bf7fd81f21fb3e748ff4f372809a1e776c59ae34c6cb02d4ee36054904
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.10.18
|