Associations of the serum metabolite profile with a healthy Nordic diet and risk of coronary artery disease

Autor: Noerman, Stefania, Kokla, Marietta, Koistinen, Ville M., Lehtonen, Marko, Tuomainen, Tomi-Pekka, Brunius, Carl, Virtanen, Jyrki K., Hanhineva, Kati

Publikováno v: In Clinical Nutrition May 2021 40(5):3250-3262

Changes in the metabolic profile of human male postmortem frontal cortex and cerebrospinal fluid samples associated with heavy alcohol use.

Autor: Kärkkäinen, Olli¹ (AUTHOR) olli.karkkainen@uef.fi, Kokla, Marietta² (AUTHOR), Lehtonen, Marko¹ (AUTHOR), Auriola, Seppo¹ (AUTHOR), Martiskainen, Mika^3,4 (AUTHOR), Tiihonen, Jari^5,6 (AUTHOR), Karhunen, Pekka J.³ (AUTHOR), Hanhineva, Kati^2,7 (AUTHOR), Kok, Eloise³ (AUTHOR)

Publikováno v: Addiction Biology. Nov2021, Vol. 26 Issue 6, p1-8. 8p.

Data analysis for non-targeted LC-MS metabolomics data : method development and application in nutritional metabolomics for epidemiological research

Autor: Kokla, Marietta

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3891::d76264fb4e19117d42d6bb2e727ed851
http://urn.fi/URN:ISBN:978-952-61-3705-6

Random forest-based imputation outperforms other methods for imputing LC-MS metabolomics data: a comparative study

Autor: Kokla, Marietta, Virtanen, Jyrki, Kolehmainen, Marjukka, Paananen, Jussi, Hanhineva, Kati

Publikováno v: BMC Bioinformatics
Kokla, M, Virtanen, J, Kolehmainen, M, Paananen, J & Hanhineva, K 2019, ' Random forest-based imputation outperforms other methods for imputing LC-MS metabolomics data : A comparative study ', BMC Bioinformatics, vol. 20, no. 1, 492 . https://doi.org/10.1186/s12859-019-3110-0
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-11 (2019)

Background: LC-MS technology makes it possible to measure the relative abundance of numerous molecular features of a sample in single analysis. However, especially non-targeted metabolite profiling approaches generate vast arrays of data that are pro

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::4b31397eed4b7aa702ef61dd3a5667c0
http://europepmc.org/articles/PMC6788053

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