Python implementation of Bayesian iterative robust rank aggregation (BIRRA), based on Badgeley et al (2014) 'Hybrid Bayesian-rank integration approach improves the predictive power of genomic dataset aggregation' (https://academic.oup.com/bioinformatics/article/31/2/209/2364920).
1 maintainer
Release files for birra 0.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| birra-0.1.2.tar.gz | 21.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| birra-0.1.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 27.1 kB
Release files / birra-0.1.2.tar.gz
| Download URL | birra-0.1.2.tar.gz |
|---|---|
| Size | 21.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
8960033099e5ddd630c3733160f465678b8916723571a033abca5b1289a05f4c
|
|
BLAKE2b-256 checksum How to use checksums |
8e10035f96f9407f0600518161a336aa7e9cfe39388195eb2ddf26ebba872681
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.5.26
|
Release files / birra-0.1.2-py3-none-any.whl
| Download URL | birra-0.1.2-py3-none-any.whl |
|---|---|
| Size | 5.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
2bbf083a2d0b49e8de015bdd7f19d293543117cbc5cdb24226db81d81387a58b
|
|
BLAKE2b-256 checksum How to use checksums |
cefaac276bcd7e80afe9fdb94dd7d8027d2f9d5beb87583b650bf822c8d8ed3d
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.5.26
|
