Corrigendum: Machine learning identifies activation of RUNX/AP-1 as drivers of mesenchymal and fibrotic regulatory programs in gastric cancer.

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Title: Corrigendum: Machine learning identifies activation of RUNX/AP-1 as drivers of mesenchymal and fibrotic regulatory programs in gastric cancer.
Authors: Razavi-Mohseni M, Huang W, Guo YA, Shigaki D, Ho SWT, Tan P, Skanderup AJ, Beer MA
Source: Genome research [Genome Res] 2026 Feb 03; Vol. 36 (2), pp. 432. Date of Electronic Publication: 2026 Feb 03.
Publication Type: Journal Article; Published Erratum
Journal Info: Publisher: Cold Spring Harbor Laboratory Press Country of Publication: United States NLM ID: 9518021 Publication Model: Electronic Cited Medium: Internet ISSN: 1549-5469 (Electronic) Linking ISSN: 10889051 NLM ISO Abbreviation: Genome Res Subsets: MEDLINE; In Process
Database: MEDLINE Ultimate
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PubType: Academic Journal
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  Data: <searchLink fieldCode="JN" term="%229518021%22">Genome research</searchLink> [Genome Res] 2026 Feb 03; Vol. 36 (2), pp. 432. <i>Date of Electronic Publication: </i>2026 Feb 03.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Cold+Spring+Harbor+Laboratory+Press%22">Cold Spring Harbor Laboratory Press </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>9518021 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1549-5469 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2210889051%22">10889051 </searchLink><i>NLM ISO Abbreviation: </i>Genome Res <i>Subsets: </i>MEDLINE; In Process
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      – Type: doi
        Value: 10.1101/gr.281294.125
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      – Code: eng
        Text: English
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        StartPage: 432
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      – TitleFull: Corrigendum: Machine learning identifies activation of RUNX/AP-1 as drivers of mesenchymal and fibrotic regulatory programs in gastric cancer.
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            NameFull: Razavi-Mohseni M
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            NameFull: Huang W
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            NameFull: Guo YA
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            NameFull: Shigaki D
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            NameFull: Ho SWT
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              Text: 2026 Feb 03
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              Y: 2026
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              Value: 36
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            – TitleFull: Genome research
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