Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ https://doi.org/10.5...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
https://doi.org/10.5281/zenodo...
Dataset . 2024
License: CC BY
Data sources: Sygma
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
The Knowledge Base of the University of Gdańsk
Dataset
Data sources: The Knowledge Base of the University of Gdańsk
 View all 4 versions
Claim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

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

MHC class I antigen binding prediction models and their performance results
Research datakeyboard_double_arrow_right Dataset 20 Dec 2024 Poland Publisher:ZenodoFunded by:EC | KATY
Authors: Mastromattei, Michele; Palkowski, Aleksander; Nourbakhsh, Aria; Alfaro, Javier Antonio; Zanzotto, Fabio Massimo;

doi: 10.5281/zenodo.14526106 , 10.5281/zenodo.14526105

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

Abstract

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.

Country
Poland
Related Organizations
Keywords

Machine Learning, Artificial Intelligence, FOS: Clinical medicine, Immunology, immunopeptidomics, large language model, immunoproteomics, Supervised Machine Learning/classification

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Funded by
Related to Research communities
Knowmad Institut
UArctic