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 1.8.4
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-1.8.4.tar.gz | 57.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sccoord-1.8.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 124.8 kB
Release files / sccoord-1.8.4.tar.gz
| Download URL | sccoord-1.8.4.tar.gz |
|---|---|
| Size | 57.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
688c5856be2cdda1c046e8839059a77244b899958a22a60ac9bcdc9eca7c9975
|
|
BLAKE2b-256 checksum How to use checksums |
60349f2534332377bfe0a2387ae7737c221134a13d557c8a7340ac59b715823f
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.10.18
|
Release files / sccoord-1.8.4-py3-none-any.whl
| Download URL | sccoord-1.8.4-py3-none-any.whl |
|---|---|
| Size | 67.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
d7cefe5a5a9de762acc48317ed8426032fc676180faeb4c580cd0b0e6ef6ff5c
|
|
BLAKE2b-256 checksum How to use checksums |
bb43c92c8efcd9a55d65e043d17449957cc5d352a7196d7bdfa15343317e43e0
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.10.18
|