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Transcriptomic profiling and machine learning uncover gene signatures of psoriasis endotypes and disease severity.

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Title: Transcriptomic profiling and machine learning uncover gene signatures of psoriasis endotypes and disease severity.
Authors: Rider A; Institute of Translational and Clinical Medicine, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK., Grantham HJ; Institute of Translational and Clinical Medicine, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK., Smith GR; Bioinformatics Support Unit, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK., Watson DS; Centre for Translational Bioinformatics, William Harvey Research Institute, Queen Mary University of London, Charterhouse Square, London, UK.; Department of Informatics, King's College London, London, UK., Casement J; Bioinformatics Support Unit, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK., Cockell SJ; Bioinformatics Support Unit, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.; Biosciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK., Gisby J; Centre for Translational Bioinformatics, William Harvey Research Institute, Queen Mary University of London, Charterhouse Square, London, UK., Foulkes AC; The Manchester Centre for Dermatology Research, The University of Manchester, Manchester, UK., Henkin R; Centre for Translational Bioinformatics, William Harvey Research Institute, Queen Mary University of London, Charterhouse Square, London, UK., Iqbal WA; Bioinformatics Support Unit, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK., Ewen T; Institute of Translational and Clinical Medicine, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK., Amarnath S; Biosciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK., Ng S; Centre for Translational Bioinformatics, William Harvey Research Institute, Queen Mary University of London, Charterhouse Square, London, UK., Zuliani P; School of Computing, Newcastle University, Newcastle upon Tyne, UK.; Dipartimento di Informatica, Sapienza University, Rome, Italy., Dand N; Department of Medical and Molecular Genetics, Kings College London, London, UK., Stocken D; Leeds Institute of Clinical Trials Research, The University of Leeds, Leeds, UK., Traini C; Computational Biology, GlaxoSmithKline, Collegeville, PA, USA., Thomas E; Computational Biology, GlaxoSmithKline, Collegeville, PA, USA., Kalyana-Sundaram S; Computational Biology, GlaxoSmithKline, Collegeville, PA, USA., Rajpal DK; Computational Biology, GlaxoSmithKline, Collegeville, PA, USA.; Takeda Development Center Americas, Inc. (TDCA), Lexington, MA, USA., Smith KM; AbbVie Genome Research Center, Immunology Bioinformatics, 200 Sidney Street, Cambridge, MA, 02139, USA., Barker JN; St. Johns Institute of Dermatology, Kings College London, London, UK., Griffiths CEM; The Manchester Centre for Dermatology Research, The University of Manchester, Manchester, UK., Di Meglio P; St. Johns Institute of Dermatology, Kings College London, London, UK., Smith CH; St. Johns Institute of Dermatology, Kings College London, London, UK., Warren RB; The Manchester Centre for Dermatology Research, The University of Manchester, Manchester, UK., Barnes MR; Centre for Translational Bioinformatics, William Harvey Research Institute, Queen Mary University of London, Charterhouse Square, London, UK. m.r.barnes@qmul.ac.uk., Reynolds NJ; Institute of Translational and Clinical Medicine, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK. nick.reynolds@newcastle.ac.uk.; NIHR Newcastle Biomedical Research Centre & Department of Dermatology, Royal Victoria Infirmary, Newcastle Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK. nick.reynolds@newcastle.ac.uk.
Corporate Authors: PSORT consortium
Source: Communications medicine [Commun Med (Lond)] 2026 Jan 21; Vol. 6 (1), pp. 65. Date of Electronic Publication: 2026 Jan 21.
Publication Type: Journal Article
Journal Info: Publisher: Nature Portfolio Country of Publication: England NLM ID: 9918250414506676 Publication Model: Electronic Cited Medium: Internet ISSN: 2730-664X (Electronic) Linking ISSN: 2730664X NLM ISO Abbreviation: Commun Med (Lond) Subsets: PubMed not MEDLINE
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