| COVAIN: a toolbox for uni-and multivariate statistics, time-series and correlation network analysis and inverse estimation of the differential Jacobian from metabolomics … X Sun, W Weckwerth Metabolomics 8, 81-93, 2012 | 160 | 2012 |
| Granger causality in integrated GC–MS and LC–MS metabolomics data reveals the interface of primary and secondary metabolism H Doerfler, D Lyon, T Nägele, X Sun, L Fragner, F Hadacek, V Egelhofer, ... Metabolomics 9, 564-574, 2013 | 117 | 2013 |
| compomics-utilities: an open-source Java library for computational proteomics H Barsnes, M Vaudel, N Colaert, K Helsens, A Sickmann, FS Berven, ... BMC bioinformatics 12, 1-6, 2011 | 107 | 2011 |
| Combined metabolomic analysis of plasma and urine reveals AHBA, tryptophan and serotonin metabolism as potential risk factors in gestational diabetes mellitus (GDM) M Leitner, L Fragner, S Danner, N Holeschofsky, K Leitner, S Tischler, ... Frontiers in Molecular Biosciences 4, 84, 2017 | 64 | 2017 |
| System-level and granger network analysis of integrated proteomic and metabolomic dynamics identifies key points of grape berry development at the interface of primary and … L Wang, X Sun, J Weiszmann, W Weckwerth Frontiers in plant science 8, 244474, 2017 | 64 | 2017 |
| Inverse data-driven modeling and multiomics analysis reveals phgdh as a metabolic checkpoint of macrophage polarization and proliferation JL Wilson, T Nägele, M Linke, F Demel, SD Fritsch, HK Mayr, Z Cai, ... Cell reports 30 (5), 1542-1552. e7, 2020 | 59 | 2020 |
| Physiological and proteomic signatures reveal mechanisms of superior drought resilience in pearl millet compared to wheat A Ghatak, P Chaturvedi, G Bachmann, L Valledor, Ž Ramšak, ... Frontiers in Plant Science 11, 600278, 2021 | 56 | 2021 |
| The complexity of gene expression dynamics revealed by permutation entropy X Sun, Y Zou, V Nikiforova, J Kurths, D Walther BMC bioinformatics 11, 1-15, 2010 | 52 | 2010 |
| mzGroupAnalyzer-predicting pathways and novel chemical structures from untargeted high-throughput metabolomics data H Doerfler, X Sun, L Wang, D Engelmeier, D Lyon, W Weckwerth PloS one 9 (5), e96188, 2014 | 44 | 2014 |
| Solving the differential biochemical Jacobian from metabolomics covariance data T Nägele, A Mair, X Sun, L Fragner, M Teige, W Weckwerth PloS one 9 (4), e92299, 2014 | 44 | 2014 |
| Metabolite changes with induction of Cuscuta haustorium and translocation from host plants T Furuhashi, L Fragner, K Furuhashi, L Valledor, X Sun, W Weckwerth Journal of plant interactions 7 (1), 84-93, 2012 | 32 | 2012 |
| Plastic and genetic responses of a common sedge to warming have contrasting effects on carbon cycle processes TWN Walker, W Weckwerth, L Bragazza, L Fragner, BG Forde, NJ Ostle, ... Ecology letters 22 (1), 159-169, 2019 | 27 | 2019 |
| Cage bedding modifies metabolic and gut microbiota profiles in mouse studies applying dietary restriction A Gregor, L Fragner, S Trajanoski, W Li, X Sun, W Weckwerth, J König, ... Scientific Reports 10 (1), 20835, 2020 | 22 | 2020 |
| Challenges of inversely estimating jacobian from metabolomics data X Sun, B Länger, W Weckwerth Frontiers in bioengineering and biotechnology 3, 188, 2015 | 14 | 2015 |
| From proteomics to systems biology: MAPA, MASS WESTERN, PROMEX, and COVAIN as a user-oriented platform W Weckwerth, S Wienkoop, W Hoehenwarter, V Egelhofer, X Sun Plant Proteomics: Methods and Protocols, 15-27, 2014 | 10 | 2014 |
| Using COVAIN to analyze metabolomics data X Sun, W Weckwerth The handbook of plant metabolomics, 305-320, 2013 | 9 | 2013 |
| Draft Genome Sequence of the Growth-Promoting Endophyte Paenibacillus sp. P22, Isolated from Populus AM Hanak, M Nagler, T Weinmaier, X Sun, L Fragner, C Schwab, T Rattei, ... Genome Announcements 2 (2), 10.1128/genomea. 00276-14, 2014 | 7 | 2014 |
| Dissecting Metabolism of Leaf Nodules in Ardisia crenata and Psychotria punctata F Schindler, L Fragner, JB Herpell, A Berger, M Brenner, S Tischler, ... Frontiers in Molecular Biosciences 8, 683671, 2021 | 6 | 2021 |
| Computational Metabolomics-using COVAIN to analyze metabolomics data X Sun, W Weckwerth | | |
