Multiscale Spectral Similarity Index
An MS-SSIM inspired metric for assessing imputation accuracy in spatial transcriptomics data. MSSI works by iterativly pooling the graph representing the spatial data and relies on the graph-coarsening package (https://github.com/loukasa/graph-coarsening) which can be installed through the commands:
git clone git@github.com:loukasa/graph-coarsening.git
cd graph-coarsening
pip install .
And then mssi can be installed via pip:
pip install mssi
Metadata
Release files for mssi 0.1.9
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mssi-0.1.9.tar.gz | 3.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mssi-0.1.9-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 9.0 kB
Release files / mssi-0.1.9.tar.gz
| Download URL | mssi-0.1.9.tar.gz |
|---|---|
| Size | 3.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
8190f752d2d4696f0e03e77c7e2e6ddc1cf48909d13b013ef743e91c7cf1718e
|
|
BLAKE2b-256 checksum How to use checksums |
b4dbd720d51f8f93b72b901cbf89fdeb1b537485878ab2190403629e86f40774
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.7.1 CPython/3.11.5 Linux/3.10.0-1160.45.1.el7.x86_64
|
Release files / mssi-0.1.9-py3-none-any.whl
| Download URL | mssi-0.1.9-py3-none-any.whl |
|---|---|
| Size | 5.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
6b10c9e3fa6de6d942074eb477ac766e7303f09b6b9fe2a8cc868ab1a3ce1a69
|
|
BLAKE2b-256 checksum How to use checksums |
d0c7d7741f81701a532d2f0700071585490bf78c56e0b8af940de6727de82ae1
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.7.1 CPython/3.11.5 Linux/3.10.0-1160.45.1.el7.x86_64
|