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)
Metadata
Release files for HAllA 0.8.40
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| HAllA-0.8.40.tar.gz | 937.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| HAllA-0.8.40-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 979.1 kB
Release files / HAllA-0.8.40.tar.gz
| Download URL | HAllA-0.8.40.tar.gz |
|---|---|
| Size | 937.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
eabf0d5e73e41801162ca3ac73ff0bb3cf374765a9e56fae0dfb94dc06d5a334
|
|
BLAKE2b-256 checksum How to use checksums |
2a8c5e331aa88f2caa5bfe8e57df2832f88489ebe39a8bde2185c405ef38bc17
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.8.9
|
Release files / HAllA-0.8.40-py3-none-any.whl
| Download URL | HAllA-0.8.40-py3-none-any.whl |
|---|---|
| Size | 42.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
858a2a2dcd6af78b34be380608ae8b81bbc1c7b608056a6914b37ae2d4de619f
|
|
BLAKE2b-256 checksum How to use checksums |
596296a1d0b71b3d6245bd1f972bc3e07f9c69d995f9ca22cb955ff901c7242a
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.8.9
|