Author

Daniel Pérez-Hernández

Luxembourg Institute of HealthORCID 0000-0003-0266-9050Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Molecular Biology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell-cell communication· 2 Organism:human· 2 Assay:proteomics· 2 Research Focus:benchmarking· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Gunnar A. G. DittmariD· 2 shared Achim LeutziD· 1 shared Elisabeth Kowenz‐Leutz· 1 shared Evelyn RambergeriD· 1 shared Francisco J AzuajeiD· 1 shared Karin Zimmermann· 1 shared Nathalie NicotiD· 1 shared Petr V. NazaroviD· 1 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersMolecular Biology

Gunnar A. G. DittmarORCID

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2 papers

Recent·Most cited

Molecular BiologyiSciencePeer-reviewedJun 1, 2021

A comprehensive motifs-based interactome of the C/EBPα transcription factor

Evelyn Ramberger, Valeria Sapozhnikova, Elisabeth Kowenz‐Leutz…·Achim Leutz

This paper maps the C/EBPα interactome using PRISMA and BioID, revealing PTM-dependent interactions and motifs that define its functional plasticity.

23 citations

humanproteomics

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Systems BiologyJournal of Clinical MedicinePeer-reviewedSep 25, 2019

Connecting Histopathology Imaging and Proteomics in Kidney Cancer through Machine Learning

Francisco J Azuaje, Sang‐Yoon Kim, Daniel Pérez-Hernández, Gunnar A. G. Dittmar

The paper uses machine learning to connect proteomics data with histopathology images in kidney cancer, finding correlations between proteins and imaging-based predictions.

45 citations

humanproteomics

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