Annotation-free prediction of immunotherapy response in melanoma using single-cell transcriptomic data.
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| Title: | Annotation-free prediction of immunotherapy response in melanoma using single-cell transcriptomic data. |
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| Authors: | Oh DE; Bioinformatics Core Laboratory, Convergence Medicine Research Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul, Republic of Korea.; Department of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea., Kee G; Department of Medical Science, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.; Department of Information Medicine, Asan Medical Center, Seoul, Republic of Korea., Oh JH; Bioinformatics Core Laboratory, Convergence Medicine Research Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul, Republic of Korea., Kim W; Department of Medical Science, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.; Department of Pathology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea., Kang YG; Department of Medical Science, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.; Department of Pathology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea., Park CW; Department of Medical Science, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.; Department of Pathology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea., Jun TJ; Department of Medical Informatics and Statistics, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea., Sung CO; Bioinformatics Core Laboratory, Convergence Medicine Research Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul, Republic of Korea.; Department of Medical Science, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.; Department of Pathology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea. |
| Source: | PloS one [PLoS One] 2026 Feb 27; Vol. 21 (2), pp. e0343633. Date of Electronic Publication: 2026 Feb 27 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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