Big data-driven target identification by machine learning: DRD2 as a therapeutic target for psoriasis.
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| Title: | Big data-driven target identification by machine learning: DRD2 as a therapeutic target for psoriasis. |
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| Authors: | Sakai T; Department of Dermatology, Faculty of Medicine, Oita University, Oita, Japan. Electronic address: t-sakai@oita-u.ac.jp., Sawada R; Department of Pharmacology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan., Ichinose O; Department of Bioscience and Bioinformatics, Faculty of Computer Science and Systems Engineering, Kyushu Institute of Technology, Fukuoka, Japan., Terabayashi T; Department of Pharmacology, Faculty of Medicine, Oita University, Oita, Japan., Hatano Y; Department of Dermatology, Faculty of Medicine, Oita University, Oita, Japan., Yamanishi Y; Department of Complex Systems Science, Graduate School of Informatics, Nagoya University, Aichi, Japan., Ishizaki T; Department of Pharmacology, Faculty of Medicine, Oita University, Oita, Japan. |
| Source: | Journal of dermatological science [J Dermatol Sci] 2025 Jul; Vol. 119 (1), pp. 9-17. Date of Electronic Publication: 2025 Apr 26. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Elsevier Country of Publication: Netherlands NLM ID: 9011485 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-569X (Electronic) Linking ISSN: 09231811 NLM ISO Abbreviation: J Dermatol Sci Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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