| Rise of deep learning for genomic, proteomic, and metabolomic data integration in precision medicine D Grapov, J Fahrmann, K Wanichthanarak, S Khoomrung Omics: a journal of integrative biology 22 (10), 630-636, 2018 | 217 | 2018 |
| Functional expression and characterization of five wax ester synthases in Saccharomyces cerevisiae and their utility for biodiesel production S Shi, JO Valle-Rodríguez, S Khoomrung, V Siewers, J Nielsen Biotechnology for biofuels 5, 1-10, 2012 | 169 | 2012 |
| Rapid quantification of yeast lipid using microwave-assisted total lipid extraction and HPLC-CAD S Khoomrung, P Chumnanpuen, S Jansa-Ard, M Ståhlman, I Nookaew, ... Analytical chemistry 85 (10), 4912-4919, 2013 | 127 | 2013 |
| 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 | 117 | 2020 |
| Evolutionary engineering reveals divergent paths when yeast is adapted to different acidic environments E Fletcher, A Feizi, MMM Bisschops, BM Hallström, S Khoomrung, ... Metabolic engineering 39, 19-28, 2017 | 116 | 2017 |
| Modular pathway rewiring of Saccharomyces cerevisiae enables high-level production of L-ornithine J Qin, YJ Zhou, A Krivoruchko, M Huang, L Liu, S Khoomrung, V Siewers, ... Nature Communications 6 (1), 8224, 2015 | 116 | 2015 |
| Deep learning meets metabolomics: a methodological perspective P Sen, S Lamichhane, VB Mathema, A McGlinchey, AM Dickens, ... Briefings in Bioinformatics 22 (2), 1531-1542, 2021 | 76 | 2021 |
| Fast and accurate preparation fatty acid methyl esters by microwave-assisted derivatization in the yeast Saccharomyces cerevisiae S Khoomrung, P Chumnanpuen, S Jansa-Ard, I Nookaew, J Nielsen Applied Microbiology and Biotechnology 94, 1637-1646, 2012 | 76 | 2012 |
| Physiological characterization of the high malic acid-producing Aspergillus oryzae strain 2103a-68 C Knuf, I Nookaew, I Remmers, S Khoomrung, S Brown, A Berry, ... Applied microbiology and biotechnology 98, 3517-3527, 2014 | 72 | 2014 |
| Changes in lipid metabolism convey acid tolerance in Saccharomyces cerevisiae Z Guo, S Khoomrung, J Nielsen, L Olsson Biotechnology for biofuels 11, 1-15, 2018 | 69 | 2018 |
| Comparison of the metabolic response to over-production of p-coumaric acid in two yeast strains A Rodriguez, Y Chen, S Khoomrung, E Özdemir, I Borodina, J Nielsen Metabolic Engineering 44, 265-272, 2017 | 66 | 2017 |
| Comparative systems analyses reveal molecular signatures of clinically tested vaccine adjuvants TA Olafsdottir, M Lindqvist, I Nookaew, P Andersen, J Maertzdorf, ... Scientific reports 6 (1), 39097, 2016 | 55 | 2016 |
| Polycyclic aromatic compounds in urban air and associated inhalation cancer risks: A case study targeting distinct source sectors N Jariyasopit, P Tung, K Su, S Halappanavar, GJ Evans, Y Su, ... Environmental pollution 252, 1882-1891, 2019 | 52 | 2019 |
| A maternal diet of fatty fish reduces body fat of offspring compared with a maternal diet of beef and a post‐weaning diet of fish improves insulin sensitivity and lipid profile … A Hussain, I Nookaew, S Khoomrung, L Andersson, I Larsson, L Hulthén, ... Acta Physiologica 209 (3), 220-234, 2013 | 47 | 2013 |
| Identification of arsenolipids with GC/MS G Raber, S Khoomrung, MS Taleshi, JS Edmonds, KA Francesconi Talanta 78 (3), 1215-1218, 2009 | 45 | 2009 |
| Accounting for biological variation with linear mixed-effects modelling improves the quality of clinical metabolomics data K Wanichthanarak, S Jeamsripong, N Pornputtapong, S Khoomrung Computational and structural biotechnology journal 17, 611-618, 2019 | 41 | 2019 |
| Enhanced amino acid utilization sustains growth of cells lacking Snf1/AMPK R Nicastro, F Tripodi, C Guzzi, V Reghellin, S Khoomrung, C Capusoni, ... Biochimica et Biophysica Acta (BBA)-Molecular Cell Research 1853 (7), 1615-1625, 2015 | 40 | 2015 |
| Metabolomics and integrative omics for the development of Thai traditional medicine S Khoomrung, K Wanichthanarak, I Nookaew, O Thamsermsang, ... Frontiers in pharmacology 8, 474, 2017 | 36 | 2017 |
| Deep learning facilitates multi-data type analysis and predictive biomarker discovery in cancer precision medicine VB Mathema, P Sen, S Lamichhane, M Orešič, S Khoomrung Computational and Structural Biotechnology Journal 21, 1372-1382, 2023 | 30 | 2023 |
| Improved quantification of farnesene during microbial production from Saccharomyces cerevisiae in two-liquid-phase fermentations S Tippmann, J Nielsen, S Khoomrung Talanta 146, 100-106, 2016 | 24 | 2016 |
Jens NielsenProfessor in Systems Biology, Chalmers University of Technology, Sweden在 chalmers.se 的电子邮件经过验证
