المؤلفون: Azizi, Arezo, Norsker, Filippa N., Kokla, Marietta, Nielsen, Thomas T., Holmqvist, Anna S., Øra, Ingrid, Vettenranta, Kim, Øfstaas, Hilde, Hasle, Henrik, Rechnitzer, Catherine, Winther, Jeanette F., Kenborg, Line

المصدر: Acta Oncologica. 62(12):1635-1641

مصطلحات موضوعية: Medicin och hälsovetenskap, Klinisk medicin, Cancer och onkologi, Medical and Health Sciences, Clinical Medicine, Cancer and Oncology

URL الوصول: https://lup.lub.lu.se/record/3f5b3f49-2fb3-4eaa-a83a-b65d0bdb05f8
http://dx.doi.org/10.1080/0284186X.2023.2266567

المؤلفون: Zarei, Iman^{Aff1, IDs4159802219327w_cor1}, Koistinen, Ville M.^{Aff1, Aff2}, Kokla, Marietta, Klåvus, Anton, Babu, Ambrin Farizah, Lehtonen, Marko^{Aff3, Aff4}, Auriola, Seppo^{Aff3, Aff4}, Hanhineva, Kati^{Aff1, Aff2, IDs4159802219327w_cor8}

المصدر: Scientific Reports. 12(1)

المؤلفون: Klåvus, Anton, Kokla, Marietta, Noerman, Stefania, 1987, Koistinen, Ville Mikael, Tuomainen, Marjo, Zarei, Iman, Meuronen, Topi, Häkkinen, Merja R., Rummukainen, Soile, Babu, Ambrin Farizah, Sallinen, Taisa, Kärkkäinen, Olli, Paananen, Jussi, Broadhurst, David, Brunius, Carl, 1974, Hanhineva, Kati, 1972

المصدر: Metabolites. 10(4)

مصطلحات موضوعية: Metabolomics, Computational statistical, Supervised learning, Unsupervised learning, Metabolic profiling, LC-MS, Pathway analysis, Mass spectrometry

وصف الملف: electronic

URL الوصول: https://research.chalmers.se/publication/516565
https://research.chalmers.se/publication/516565/file/516565_Fulltext.pdf

المؤلفون: Noerman, Stefania, 1987, Kokla, Marietta, Koistinen, Ville Mikael, Lehtonen, Marko, Tuomainen, Tomi Pekka, Brunius, Carl, 1974, Virtanen, Jyrki K., Hanhineva, Kati, 1972

المصدر: Clinical Nutrition. 40(5):3250-3262

مصطلحات موضوعية: Serum, Metabolomics, Coronary artery disease, Metabolic phenotype, Healthy Nordic diet, LC-MS

URL الوصول: https://research.chalmers.se/publication/521415

المؤلفون: Kokla, Marietta

المساهمون: Lääketieteen laitos, School of Medicine, Terveystieteiden tiedekunta, Lääketieteen laitos, Kansanterveystiede ja kliininen ravitsemustiede, Faculty of Health Sciences, School of Medicine, Public Health and Clinical Nutrition, Terveystieteiden tiedekunta, Faculty of Health Sciences

وصف الملف: Julkaisusta vain yhteenveto-osa

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

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

المصدر: 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)

مصطلحات موضوعية: High dimensional data, MCAR, lcsh:Computer applications to medicine. Medical informatics, MNAR, Mass Spectrometry, MAR, lcsh:Biology (General), Bias, lcsh:R858-859.7, Statistics::Methodology, Metabolomics, RF, Humans, Missing values, lcsh:QH301-705.5, Research Article, Imputation, Chromatography, Liquid

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

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

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e7e80c79a8a0e358ac76b5c708439d9

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