Academic Bibliography

Search 200 years of publications by Ghent University researchers.

dr. Ruth Seurinck

Faculty of Sciences > Department of Mathematics, Computer Science and Statistics

ORCID iD: 0000-0002-6636-7572

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Potential of biomarker-based enrichment strategies to identify critically ill patients for emerging cell death interventions

Cyril Willemart, Ruth Seurinck (UGent) , Tom Stroobants, Samya Van Coillie, Jorien De Loor (UGent) , Sze Men Choi (UGent) , Ria Roelandt (UGent) , Mohan Rajapurkar, Symen Ligthart, Philippe G. Jorens, et al.

(2025) CELL DEATH AND DIFFERENTIATION. 32(12). p.2284-2293
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Unraveling cell-cell communication with NicheNet by inferring active ligands from transcriptomics data

Chananchida Sang-aram (UGent) , Robin Browaeys (UGent) , Ruth Seurinck (UGent) and Yvan Saeys (UGent)

(2025) NATURE PROTOCOLS. 20. p.1439-1467
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A single-cell and spatial wheat root atlas with cross-species annotations delineates conserved tissue-specific marker genes and regulators

Yuji Ke (UGent) , Vincent Pujol (UGent) , Jasper Staut (UGent) , Lotte Pollaris (UGent) , Ruth Seurinck (UGent) , Thomas Eekhout (UGent) , Carolin Seyfferth (UGent) , Maite Saura Sanchez (UGent) , Michiel Van Bel (UGent) , Marnik Vuylsteke (UGent) , et al.

(2025) CELL REPORTS. 44(2).
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- Miscellaneous
VIB Hackathon on spatial omics tools and methods

Benjamin Rombaut (UGent) , Lotte Pollaris (UGent) , Chananchida Sang-aram (UGent) , Michiel Ver Cruysse (UGent) , Robrecht Cannoodt (UGent) , Frank Vernaillen (UGent) , Arne Defauw (UGent) , Julien Mortier (UGent) , Mayar Ali, Kresimir Bestak, et al.

(2024)
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SPArrOW : a flexible, interactive and scalable pipeline for spatial transcriptomics analysis

Lotte Pollaris (UGent) , Bavo Vanneste (UGent) , Benjamin Rombaut (UGent) , Arne Defauw (UGent) , Frank Vernaillen (UGent) , Julien Mortier (UGent) , Wout Vanhenden, Liesbet Martens (UGent) , Tinne THONE (UGent) , Jean-François Hastir (UGent) , et al.

(2024) bioRxiv.
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- P1
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Pattern or artifact? Interactively exploring embedding quality with TRACE

Edith Heiter (UGent) , Liesbet Martens (UGent) , Ruth Seurinck (UGent) , Martin Guilliams (UGent) , Tijl De Bie (UGent) , Yvan Saeys (UGent) and Jefrey Lijffijt (UGent)

(2024) MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES-RESEARCH TRACK AND DEMO TRACK, PT VIII, ECML PKDD 2024. In Lecture Notes in Computer Science 14948. p.379-382
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Spotless, a reproducible pipeline for benchmarking cell type deconvolution in spatial transcriptomics

Chananchida Sang-aram (UGent) , Robin Browaeys (UGent) , Ruth Seurinck (UGent) and Yvan Saeys (UGent)

(2024) ELIFE. 12.
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A TCF4-dependent gene regulatory network confers resistance to immunotherapy in melanoma

Joanna Pozniak, Dennis Pedri, Ewout Landeloos, Yannick Van Herck, Asier Antoranz, Lukas Vanwynsberghe, Ada Nowosad, Niccolo Roda, Samira Makhzami, Greet Bervoets, et al.

(2024) CELL. 187(1). p.166-183
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Improving the eligibility of task-based fMRI studies for meta-analysis : a review and reporting recommendations

Freya Acar, Camille Maumet, Talia Heuten, Maya Vervoort, Han Bossier, Ruth Seurinck (UGent) and Beatrijs Moerkerke (UGent)

(2024) NEUROINFORMATICS. 22(1). p.5-22
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MultiNicheNet : a flexible framework for differential cell-cell communication analysis from multi-sample multi-condition single-cell transcriptomics data

Robin Browaeys (UGent) , Jeroen Gilis, Chananchida Sang-aram (UGent) , Pieter De Bleser (UGent) , Levi Hoste (UGent) , Simon Tavernier (UGent) , Diether Lambrechts, Ruth Seurinck (UGent) and Yvan Saeys (UGent)

(2023) bioRxiv.

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