Author

Katyayni Ganesan

University of CologneORCID 0009-0001-6849-0785Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Katyayni Ganesan1 paper · University Hospital Heidelberg

Biology Disciplines

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Cancer Biology· 2 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:deep learning· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Assay:CRISPR screen· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Adrian AltenhoffiD· 1 shared Alexander R.A. AndersoniD· 1 shared Alexander Schramm· 1 shared Anna K. Baginska· 1 shared Anne Petzold· 1 shared Ari Barnett· 1 shared Barbara M. GrüneriD· 1 shared Barbara T. GrünwaldiD· 1 shared

Activity by Year

2026-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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1 shared paperEvolutionary Biology

Adrian AltenhoffORCID

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3 papers

Recent·Most cited

Cancer BiologybioRxivPreprintOct 8, 2026

Loss of the Y chromosome drives basal identity and metastatic potential via epigenetic reprogramming in pancreatic cancer

Madeleine Dorsch, Felix E.G. Beaudry, Anna K. Baginska…·Barbara M. Grüner

This study identifies LOY as a driver of aggressive PDAC through epigenetic reprogramming, linking it to EMT and metastasis, and highlights its clinical relevance as a biomarker.

DOI 10.64898/2026.10.06.756936

humanbulk RNA-seq

𝕏 PostBluesky

Cancer BiologybioRxivPreprintJun 17, 2026

140 Years of mathematical modeling in oncology through AI-assisted curation

Franco Pradelli, Maximilian A.R. Strobl, Sadegh Marzban…·Jeffrey West

This paper curates a large corpus of mathematical oncology literature using AI, revealing its evolution from cancer biology to therapeutic modeling over 140 years.

2 citations

deep learninglarge language model

𝕏 PostBluesky

Evolutionary BiologybioRxivPreprintApr 27, 2026

PhytClust: Efficient and Optimal Monophyletic Partitioning of Rooted Phylogenetic Trees

Katyayni Ganesan, Elisa Billard, Tom L. Kaufmann…·Roland F. Schwarz

PhytClust partitions rooted phylogenetic trees into monophyletic clusters without user-defined thresholds, achieving optimal and reproducible results across diverse biological datasets.

DOI 10.64898/2025.12.11.693738

deep learningstatistical model

𝕏 PostBluesky