RIDDEN: Data-driven inference of receptor activity from transcriptomic data

Szilvia Barsi; Eszter Varga; Daniel Dimitrov; Julio Saez-Rodriguez; László Hunyady; Bence Szalai

doi:10.1371/journal.pcbi.1013188

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Open Access

Peer-reviewed

Research Article

RIDDEN: Data-driven inference of receptor activity from transcriptomic data

Szilvia Barsi,

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Visualization, Writing – original draft, Writing – review & editing

Affiliations Institute of Molecular Life Sciences, Centre of Excellence of the Hungarian Academy of Sciences, HUN-REN Research Centre for Natural Sciences, Budapest, Hungary, Department of Physiology, Faculty of Medicine, Semmelweis University, Budapest, Hungary
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Eszter Varga,

Roles Data curation, Formal analysis, Writing – review & editing

Affiliation Department of Physiology, Faculty of Medicine, Semmelweis University, Budapest, Hungary

https://orcid.org/0000-0002-1102-445X

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Daniel Dimitrov,

Roles Methodology, Writing – review & editing

Affiliation Heidelberg University, Faculty of Medicine, and Heidelberg University Hospital, Institute for Computational Biomedicine, Heidelberg, Germany
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Julio Saez-Rodriguez,

Roles Supervision, Writing – review & editing

Affiliation Heidelberg University, Faculty of Medicine, and Heidelberg University Hospital, Institute for Computational Biomedicine, Heidelberg, Germany
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László Hunyady ,

Roles Funding acquisition, Supervision, Writing – review & editing

* E-mail: hunyady.laszlo@ttk.hu (LH); ben.szalai.cb@gmail.com (BS)

Affiliations Institute of Molecular Life Sciences, Centre of Excellence of the Hungarian Academy of Sciences, HUN-REN Research Centre for Natural Sciences, Budapest, Hungary, Department of Physiology, Faculty of Medicine, Semmelweis University, Budapest, Hungary
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Bence Szalai

Roles Conceptualization, Funding acquisition, Project administration, Supervision, Writing – review & editing

* E-mail: hunyady.laszlo@ttk.hu (LH); ben.szalai.cb@gmail.com (BS)

Affiliations Institute of Molecular Life Sciences, Centre of Excellence of the Hungarian Academy of Sciences, HUN-REN Research Centre for Natural Sciences, Budapest, Hungary, Department of Physiology, Faculty of Medicine, Semmelweis University, Budapest, Hungary

https://orcid.org/0000-0002-9320-5704

⨯

RIDDEN: Data-driven inference of receptor activity from transcriptomic data

Szilvia Barsi,
Eszter Varga,
Daniel Dimitrov,
Julio Saez-Rodriguez,
László Hunyady,
Bence Szalai

Published: June 16, 2025
https://doi.org/10.1371/journal.pcbi.1013188

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Gene expression
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Cytokines
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Cytokine receptors
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Transcriptome analysis
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Transcription factors
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