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. |
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| 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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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 40522999 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: RIDDEN: Data-driven inference of receptor activity from transcriptomic data. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Barsi+S%22">Barsi S</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Varga+E%22">Varga E</searchLink>; Department of Physiology, Faculty of Medicine, Semmelweis University, Budapest, Hungary.<br /><searchLink fieldCode="AU" term="%22Dimitrov+D%22">Dimitrov D</searchLink>; Heidelberg University, Faculty of Medicine, and Heidelberg University Hospital, Institute for Computational Biomedicine, Heidelberg, Germany.<br /><searchLink fieldCode="AU" term="%22Saez-Rodriguez+J%22">Saez-Rodriguez J</searchLink>; Heidelberg University, Faculty of Medicine, and Heidelberg University Hospital, Institute for Computational Biomedicine, Heidelberg, Germany.<br /><searchLink fieldCode="AU" term="%22Hunyady+L%22">Hunyady L</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Szalai+B%22">Szalai B</searchLink>; 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. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101238922%22">PLoS computational biology</searchLink> [PLoS Comput Biol] 2025 Jun 16; Vol. 21 (6), pp. e1013188. <i>Date of Electronic Publication: </i>2025 Jun 16 (<i>Print Publication: </i>2025). – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Public+Library+of+Science%22">Public Library of Science </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101238922 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>1553-7358 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%221553734X%22">1553734X </searchLink><i>NLM ISO Abbreviation: </i>PLoS Comput Biol <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40522999 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1371/journal.pcbi.1013188 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: e1013188 Titles: – TitleFull: RIDDEN: Data-driven inference of receptor activity from transcriptomic data. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Barsi S – PersonEntity: Name: NameFull: Varga E – PersonEntity: Name: NameFull: Dimitrov D – PersonEntity: Name: NameFull: Saez-Rodriguez J – PersonEntity: Name: NameFull: Hunyady L – PersonEntity: Name: NameFull: Szalai B IsPartOfRelationships: – BibEntity: Dates: – D: 16 M: 06 Text: 2025 Jun 16 Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 1553-7358 Numbering: – Type: volume Value: 21 – Type: issue Value: 6 Titles: – TitleFull: PLoS computational biology Type: main |
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