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

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Title: RIDDEN: Data-driven inference of receptor activity from transcriptomic data.
Authors: Barsi S; 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., Varga E; Department of Physiology, Faculty of Medicine, Semmelweis University, Budapest, Hungary., Dimitrov D; Heidelberg University, Faculty of Medicine, and Heidelberg University Hospital, Institute for Computational Biomedicine, Heidelberg, Germany., Saez-Rodriguez J; Heidelberg University, Faculty of Medicine, and Heidelberg University Hospital, Institute for Computational Biomedicine, Heidelberg, Germany., Hunyady L; 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., Szalai B; 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.
Source: PLoS computational biology [PLoS Comput Biol] 2025 Jun 16; Vol. 21 (6), pp. e1013188. Date of Electronic Publication: 2025 Jun 16 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1553-7358
DOI:10.1371/journal.pcbi.1013188