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 1.6.76
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-1.6.76.tar.gz | 47.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sccoord-1.6.76-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 123.6 kB
Release files / sccoord-1.6.76.tar.gz
| Download URL | sccoord-1.6.76.tar.gz |
|---|---|
| Size | 47.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
818050e8515d62f4e70aec9874508819197b60897fdc5b5e15fcf119c25a3d71
|
|
BLAKE2b-256 checksum How to use checksums |
80cfcaf6945d636d5163b6fb55494da9a623309460d1b83c8154b26c39097ca7
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.10.18
|
Release files / sccoord-1.6.76-py3-none-any.whl
| Download URL | sccoord-1.6.76-py3-none-any.whl |
|---|---|
| Size | 76.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
e18c780834dcebcc25f225d0e316fa493d4ef87c01f604c659bf85be20db38b7
|
|
BLAKE2b-256 checksum How to use checksums |
93e25344ef0c86263e0b640b1ab20140acb0011b3ed5373a7e5d4ceb108254bb
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.10.18
|