Author

Polen Nehir Ulaş

İzmir University of EconomicsORCID 0009-0000-8709-2451Unclaimed 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:benchmarking· 1 Assay:ChIP-seq· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Osman DolucaiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintMay 8, 2026

QuadStack: Specialized convolutional blocks enable in vivo BG4-binding motif prediction and highlight discrepancies with in vitro G-quadruplexes.

Polen Nehir Ulaş, Osman Doluca

QuadStack predicts in vivo BG4-binding motifs using deep learning, showing better performance than in vitro-based predictors and revealing discrepancies in G4 sequence grammar.

DOI 10.64898/2026.05.06.723235

ChIP-seqdeep learning

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