Author

Mustafa Kahraman

Hummingbird Diagnostics (Germany)ORCID 0000-0002-5536-048XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Research Focus:cell type annotation· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:snRNA-seq· 1 Approach:statistical model· 1

Frequent Co-Authors

Andreas KelleriD· 1 shared Bradford H. CaseyiD· 1 shared Brit MollenhaueriD· 1 shared Bruno R. SteinkrausiD· 1 shared Christina BackesiD· 1 shared Christopher YauiD· 1 shared David Wesley CraigiD· 1 shared Douglas Galasko· 1 shared

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperNeuroscience

Andreas KellerORCID

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2 papers

Recent·Most cited

TransfoRNA: Navigating the Uncertainties of Small RNA Annotation with an Adaptive Machine Learning Strategy

Yasser Taha, Julia Jehn, Mustafa Kahraman, Maurice Frank, Marco Heuvelman, Rastislav Horos, Christopher Yau, Bruno R. Steinkraus, Tobias Sikosek

TransfoRNA uses an adaptive machine learning framework to improve small RNA annotation by iteratively expanding high-confidence labels and learning sequence-specific representations.

bioRxiv · Jun 19, 2024 · PreprintBioinformatics

Deep sncRNA-seq of the PPMI cohort to study Parkinson's disease progression

Fabian Kern, Tobias Fehlmann, Ivo Violich, Eric B. Alsop, Elizabeth D. Hutchins, Mustafa Kahraman, Nadja Liddy Grammes, Pedro Guimarães, Christina Backes, Kathleen L. Poston, Bradford H. Casey, Rudi Balling, Lars Geffers, Rejko Krüger, Douglas Galasko, , Andreas Keller

The paper analyzes sncRNA-seq data from the PPMI cohort to identify miRNAs associated with Parkinson's disease progression and systemic inflammation.

Nature Aging · Mar 15, 2021Peer-reviewedNeuroscience