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Patcha Poungsombat
Patcha Poungsombat
Research Assistant at Metabolomics and Systems Biology group (Siriraj Metabolomics Center (SiMPC) and the Department of Biochemistry , Faculty of Medicine Siriraj Hospital , Mahidol University)
Verified email at mahidol.ac.th - Homepage
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Year
Deep metabolome: Applications of deep learning in metabolomics
Y Pomyen, K Wanichthanarak, P Poungsombat, J Fahrmann, D Grapov, ...
Computational and Structural Biotechnology Journal 18, 2818-2825, 2020
992020
Predicting lupus membranous nephritis using reduced picolinic acid to tryptophan ratio as a urinary biomarker
K Anekthanakul, S Manocheewa, K Chienwichai, P Poungsombat, ...
Iscience 24 (11), 2021
82021
Prolonged egg supplement advances growing child’s growth and gut microbiota
S Suta, A Surawit, P Mongkolsucharitkul, B Pinsawas, T Manosan, ...
Nutrients 15 (5), 1143, 2023
52023
Volatile and non‐volatile compound profiles of commercial sweet pickled mango and its correlation with consumer preference
N Indrati, P Sumpavapol, RS Samakradhamrongthai, N Phonsatta, ...
International Journal of Food Science & Technology 57 (6), 3760-3770, 2022
52022
Metabolic profiles alteration of Southern Thailand traditional sweet pickled mango during the production process
N Indrati, N Phonsatta, P Poungsombat, S Khoomrung, P Sumpavapol, ...
Frontiers in Nutrition 9, 934842, 2022
32022
42242 Biodiversity of feet microbiome in patients with pitted keratolysis: correlation with pitted score and unpleasant odor severity
S Yenyuwadee, C Leeyaphan, S Bunyaratavej, P Pattanaprichakul, ...
Journal of the American Academy of Dermatology 89 (3), AB129, 2023
2023
1459-P: NMR-Based Metabolomics for the Screening of Sleep-Disordered Breathing in Type 2 Diabetes
K Lertdetkajorn, P Poungsombat, S Khoomrung, J Phetcharaburanin, ...
Diabetes 69 (Supplement_1), 2020
2020
Shotgun Sequencing of Southern Thailand Traditional Sweet Pickled Mango During the Production Process
N Indrati, W Sirisarn, J Nuanpirom, P Yodsawat, W Wanna, P Prombutara, ...
Available at SSRN 4363152, 0
Screening of non-cytotoxic membrane penetrating peptides using machine learning approach
P Poungsombat, W Nawae, M Ruengjitchatchawalya
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Articles 1–9