Author

Nogayhan Seymen

King's College LondonORCID 0000-0002-2379-5542Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Approach:statistical model· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:cell-cell communication· 1

Frequent Co-Authors

Mohammad Mahdi KarimiiD· 3 shared Alfredo IacoangeliiD· 2 shared Ghulam Jeelani MuftiiD· 2 shared Ian Richard ThompsoniD· 2 shared Sıla GerlevikiD· 2 shared Warisha Mumtaz· 2 shared Ahmad Al KhleifatiD· 1 shared Ammar Al‐ChalabiiD· 1 shared

Activity by Year

2024-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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3 shared papersGenomics

Mohammad Mahdi KarimiORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

BioinformaticsbioRxivPreprintSep 29, 2025

Systematic comparative benchmarking of computational methods for the detection of transposable elements in long-read sequencing data

Nogayhan Seymen, Renato Santos, Ramya Lakshmanan…·Alfredo Iacoangeli

This study benchmarks TE detection tools on long-read data, showing significant variation in performance and highlighting tool-specific strengths and limitations.

DOI 10.1101/2025.09.29.679192

humanlong-read sequencing

𝕏 PostBluesky

GenomicseLifePeer-reviewedOct 17, 2024

Expression of Most Retrotransposons in Human Blood Correlates with Biological Aging

Yi-Ting Tsai, Nogayhan Seymen, Ian Richard Thompson…·Mohammad Mahdi Karimi

The paper examines RTE expression and methylation in human blood, finding correlations with biological aging but not chronological age, and identifies potential mechanisms and cell types involved.

12 citations

humanbulk RNA-seq

𝕏 PostBluesky

GenomicseLifePeer-reviewedSep 5, 2024

Identification of novel myelodysplastic syndromes prognostic subgroups by integration of inflammation, cell-type composition, and immune signatures in the bone marrow

Sıla Gerlevik, Nogayhan Seymen, Shan Hama…·Mohammad Mahdi Karimi

The paper integrates inflammation, cell-type composition, and immune signatures in MDS to identify prognostic subgroups using MOFA, finding that high inflammation correlates with better prognosis while SRSF2 mutations are linked to poor outcomes.

2 citations

humanbulk RNA-seq

𝕏 PostBluesky