Author

Uchenna Alex Anyaegbunam

Johannes Gutenberg University MainzORCID 0009-0003-5732-8103Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Approach:contrastive learning· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1 Approach:large language model· 1

Frequent Co-Authors

Maximilian SprangiD· 2 shared Miguel Angel Andrade-NavarroiD· 2 shared Andreas HildebrandtiD· 1 shared David TeschneriD· 1 shared Johannes U Mayer· 1 shared Mert CihaniD· 1 shared Steffen AlbrechtiD· 1 shared Thierry SchmidliniD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 20 mutual co-author links

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2 shared papersBioinformatics

Maximilian SprangORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJan 7, 2026

Cross-Domain Transfer Learning from Peptides to Lipids Using a Multi-Property Fine-Tuned LLM

Uchenna Alex Anyaegbunam, David Teschner, Thierry Schmidlin…·Miguel Angel Andrade-Navarro

The paper uses a multi-property fine-tuned language model to predict lipid retention times from peptide data, improving accuracy in data-sparse scenarios.

DOI 10.64898/2026.01.06.697904

metabolomicsdeep learning

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BioinformaticsInternational Journal of Molecular SciencesPeer-reviewedJun 16, 2025

Evaluating Genetic Regulators of MicroRNAs Using Machine Learning Models

Mert Cihan, Uchenna Alex Anyaegbunam, Steffen Albrecht…·Maximilian Sprang

This study uses machine learning to predict miRNA expression and identify genetic regulators, revealing miRNA-gene regulatory relationships and pathway-specific associations.

4 citations

humanbulk RNA-seq

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