Author

Miriam Müller

La Jolla Institute for Immunology

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Immunology· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1

Frequent Co-Authors

Alessandro SetteiD· 1 shared Bjoern PetersiD· 1 shared Cecilia S. Lindestam ArlehamniD· 1 shared Daniel MarramaiD· 1 shared Ehdieh KhaledianiD· 1 shared Hannah BatteyiD· 1 shared Ricardo da Silva AntunesiD· 1 shared Sudhasini PandaiD· 1 shared

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2024-2024 · peak 1/yr

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8 top collaborators · 28 mutual co-author links

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1 shared paperImmunology

Alessandro SetteORCID

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1 paper

Recent·Most cited

ImmunologybioRxivPreprintOct 25, 2024

Predicting Immunogenic CD4+ T Cell Epitopes in Bacteria Using Antigen and Peptide Features

Daniel Marrama, Hannah Battey, Ehdieh Khaledian…·Bjoern Peters

This paper develops a machine learning model that integrates peptide and antigen features to predict immunogenic CD4+ T cell epitopes in bacteria, achieving high accuracy across multiple bacterial species.

DOI 10.1101/2024.10.25.620357

humanproteomics

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