Author

Ege Ülgen

Acıbadem UniversityORCID 0000-0003-2090-3621Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Osman Uğur SezermaniD· 2 shared Ozan ÖzışıkiD· 1 shared

Activity by Year

2019-2021 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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2 shared papersBioinformatics

Osman Uğur SezermanORCID

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2 papers

Recent·Most cited

BioinformaticsBMC BioinformaticsPeer-reviewedMay 24, 2021

driveR: A Novel Method for Prioritizing Cancer Driver Genes Using Somatic Genomics Data

Ege Ülgen, Osman Uğur Sezerman

driveR prioritizes cancer driver genes using somatic genomic data through a multi-task learning model, outperforming existing methods across 28 datasets.

10 citations

whole-exome sequencingwhole-genome sequencing

𝕏 PostBluesky

BioinformaticsFrontiers in GeneticsPeer-reviewedSep 25, 2019

pathfindR: An R Package for Pathway Enrichment Analysis Utilizing Active Subnetworks

Ege Ülgen, Ozan Özışık, Osman Uğur Sezerman

pathfindR identifies active subnetworks from gene lists and performs pathway enrichment analysis, clustering, and visualization for biological interpretation.

473 citationstop 1%

proteomicsstatistical model

𝕏 PostBluesky