Given two high-dimensional ‘omics datasets X and Y (continuous and/or categorical features) from the same n biosamples, HAllA (Hierarchical All-against-All Association Testing) discovers densely-associated blocks of features in the X vs. Y association matrix where: 1) each block is defined as all associations between features in a subtree of X hierarchy and features in a subtree of Y hierarchy and 2) a block is densely associated if (1 - FNR)% of pairwise associations are FDR significant (FNR is the pre-defined expected false negative rate)
1 maintainer
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file HAllA-0.8.40.tar.gz.
File metadata
- Download URL: HAllA-0.8.40.tar.gz
- Upload date:
- Size: 937.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/5.1.1 CPython/3.8.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
eabf0d5e73e41801162ca3ac73ff0bb3cf374765a9e56fae0dfb94dc06d5a334
|
|
| MD5 |
fb03d55cb11b3f9b8fbd370fdf3ef543
|
|
| BLAKE2b-256 |
2a8c5e331aa88f2caa5bfe8e57df2832f88489ebe39a8bde2185c405ef38bc17
|
File details
Details for the file HAllA-0.8.40-py3-none-any.whl.
File metadata
- Download URL: HAllA-0.8.40-py3-none-any.whl
- Upload date:
- Size: 42.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/5.1.1 CPython/3.8.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
858a2a2dcd6af78b34be380608ae8b81bbc1c7b608056a6914b37ae2d4de619f
|
|
| MD5 |
40200a2d8eb953fe5908810722d76d42
|
|
| BLAKE2b-256 |
596296a1d0b71b3d6245bd1f972bc3e07f9c69d995f9ca22cb955ff901c7242a
|
