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 1.6.96
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-1.6.96.tar.gz | 43.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sccoord-1.6.96-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 96.8 kB
Release files / sccoord-1.6.96.tar.gz
| Download URL | sccoord-1.6.96.tar.gz |
|---|---|
| Size | 43.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
13384d045967829c0bb861a0be03289ac5c6204e42c8924787625c0ad619d8c0
|
|
BLAKE2b-256 checksum How to use checksums |
7ff47805d5c5041fe474fa03a16cf6b48d00d0a30b01896558e483e26fc7a48b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.10.18
|
Release files / sccoord-1.6.96-py3-none-any.whl
| Download URL | sccoord-1.6.96-py3-none-any.whl |
|---|---|
| Size | 53.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
25c727a11bfb33f4f5acaf7911d4e0b732bae13276e0330ca6101ef2357177df
|
|
BLAKE2b-256 checksum How to use checksums |
a172332fae7bdbfcdbf5c4ef4302c60e96ca049faf94097f87451d409d71cf78
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.10.18
|