Published December 20, 2024 | Version 1.0.0
Dataset Open

Artificial intelligence perceives marginal gains from MHC haplotype data: analysis and datasets that challenge models

Authors/Creators

  • 1. ROR icon University of Rome Tor Vergata
  • 2. ROR icon University of Gdańsk
  • 3. ROR icon University of Edinburgh

Description

AImmuno Analysis Results

MHC class I antigen binding prediction models and their performance results for the "Artificial Intelligence Perceives Marginal Gains from MHC Haplotype Data in Antigen Presentation Predictions" paper

 

The data is associated with a paper that is still undergoing peer review.

Files

datasets.zip

Files (5.3 GB)

Name Size Download all
md5:8413af066d2ad0465cbda7323632a8b5
1.6 GB Preview Download
md5:69b807a294415060ccf35a400ae4ba85
3.7 GB Preview Download
md5:3082ad9dbb2f64b120349acb87c494ad
258 Bytes Preview Download
md5:53d02e483c66e2b1bc5706272e744c33
104.4 MB Preview Download

Additional details

Additional titles

Subtitle
MHC class I antigen binding prediction models and their performance results

Funding

European Commission
KATY - Knowledge At the Tip of Your fingers: Clinical Knowledge for Humanity 101017453

Dates

Collected
2024-12-19

Software

Repository URL
https://github.com/immuno-informatics/aimmuno-analysis
Programming language
Python
Development Status
Active