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 1.8.9
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-1.8.9.tar.gz | 57.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sccoord-1.8.9-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 124.8 kB
Release files / sccoord-1.8.9.tar.gz
| Download URL | sccoord-1.8.9.tar.gz |
|---|---|
| Size | 57.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
95e60120f19b01808836112037e30e1288ce04b944f5395cf2f48539e462633f
|
|
BLAKE2b-256 checksum How to use checksums |
dcb4c17ce27e2cf422f77a07279a3a02294a0cff41dbfb8db829792b006149a6
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.10.18
|
Release files / sccoord-1.8.9-py3-none-any.whl
| Download URL | sccoord-1.8.9-py3-none-any.whl |
|---|---|
| Size | 67.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
12954e5844c7010b6f7bd31907231eaf5dbcc263cda83469af0153e160e69e12
|
|
BLAKE2b-256 checksum How to use checksums |
9ae83c113cccff5a7bf65ccbb485f93047aaab3723f9929a4e02cfbf23d57b83
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.10.18
|