Proteomic associations with cognitive variability as measured by the Wisconsin Card Sorting Test in a healthy Thai population: A machine learning approach.
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| Title: | Proteomic associations with cognitive variability as measured by the Wisconsin Card Sorting Test in a healthy Thai population: A machine learning approach. |
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| Authors: | Chen C; Faculty of Medical Science, Medical Science graduate program, Naresuan University, Phitsanulok, Thailand., Khanthiyong B; Faculty of Medicine, Bangkokthonburi University, Bangkok, Thailand., Thaweetee-Sukjai B; School of Medicine, Mae Fah Luang University, Chiang Rai, Thailand., Charoenlappanit S; National Centre for Genetic Engineering and Biotechnology, National Science and Technology Development Agency, Pathum Thani, Thailand., Roytrakul S; National Centre for Genetic Engineering and Biotechnology, National Science and Technology Development Agency, Pathum Thani, Thailand., Surit P; Department of Biochemistry, Faculty of Medical Science, Naresuan University, Phitsanulok, Thailand., Phoungpetchara I; Department of Anatomy, Faculty of Medical Science, Naresuan University, Phitsanulok, Thailand.; Centre of Excellence in Medical Biotechnology, Faculty of Medical Science, Naresuan University, Phitsanulok, Thailand., Thanoi S; School of Medical Sciences, University of Phayao, Phayao, Thailand., Reynolds GP; Biomolecular Sciences Research Centre, Sheffield Hallam University, Sheffield, United Kingdom.; Centre of Excellence in Medical Biotechnology, Faculty of Medical Science, Naresuan University, Phitsanulok, Thailand., Nudmamud-Thanoi S; Department of Anatomy, Faculty of Medical Science, Naresuan University, Phitsanulok, Thailand.; Centre of Excellence in Medical Biotechnology, Faculty of Medical Science, Naresuan University, Phitsanulok, Thailand. |
| Source: | PloS one [PLoS One] 2025 Feb 20; Vol. 20 (2), pp. e0313365. Date of Electronic Publication: 2025 Feb 20 (Print Publication: 2025). |
| 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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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0313365 |
