Academic lineage
Deep learning facilitates multi-data type analysis and predictive biomarker discovery in cancer precision medicine
- Vivek Bhakta Mathema, Partho Sen, Santosh Lamichhane, …, Santosh Lamichhane, Matej Orešič, Sakda Khoomrung
- None, 10.1016/j.csbj.2023.01.043
Revisiting chloroplast genomic landscape and annotation towards comparative chloroplast genomes of Rhamnaceae
- Kwanjeera Wanichthanarak, Intawat Nookaew, Phongthana Pasookhush, …, Vichai Reutrakul, Pravech Ajawatanawong, Sakda Khoomrung
- BMC Plant Biol, 10.1186/s12870-023-04074-5
Metabolic profiles alteration of Southern Thailand traditional sweet pickled mango during the production process
- Niken Indrati, Natthaporn Phonsatta, Patcha Poungsombat, Sakda Khoomrung, Punnanee Sumpavapol, Atikorn Panya
- None, 10.3389/fnut.2022.934842
Predicting lupus membranous nephritis using reduced picolinic acid to tryptophan ratio as a urinary biomarker
- Krittima Anekthanakul, Siriphan Manocheewa, Kittiphan Chienwichai, …, Nuankanya Sathirapongsasuti, Chagriya Kitiyakara, Sakda Khoomrung
- None, 10.1016/j.isci.2021.103355
UPLC-ESI-MRM/MS for Absolute Quantification and MS/MS Structural Elucidation of Six Specialized Pyranonaphthoquinone Metabolites From Ventilago harmandiana
- Suphitcha Limjiasahapong, Khwanta Kaewnarin, Narumol Jariyasopit, …, Chutima Kuhakarn, Vichai Reutrakul, Sakda Khoomrung
- None, 10.3389/fpls.2020.602993
Deep metabolome: Applications of deep learning in metabolomics
- Yotsawat Pomyen, Kwanjeera Wanichthanarak, Patcha Poungsombat, Johannes Fahrmann, Dmitry Grapov, Sakda Khoomrung
- None, 10.1016/j.csbj.2020.09.033
Engineering yeast phospholipid metabolism for de novo oleoylethanolamide production
- Yi Liu, Quanli Liu, Anastasia Krivoruchko, Sakda Khoomrung, Jens Nielsen
- Nat Chem Biol, 10.1038/s41589-019-0431-2
Metabolic Profiling and Compound-Class Identification Reveal Alterations in Serum Triglyceride Levels in Mice Immunized with Human Vaccine Adjuvant Alum
- Sakda Khoomrung, Intawat Nookaew, Partho Sen, …, Peter Andersen, Ali M Harandi, Jens Nielsen
- J Proteome Res, 10.1021/acs.jproteome.9b00517
Accounting for biological variation with linear mixed-effects modelling improves the quality of clinical metabolomics data
- Kwanjeera Wanichthanarak, Saharuetai Jeamsripong, Natapol Pornputtapong, Sakda Khoomrung
- None, 10.1016/j.csbj.2019.04.009