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    2021

    1. An Innovative Perspective on Metabolomics Data Analysis in Biomedical Research Using Concept Drift Detection
      SCHWARZEROVÁ, Jana, Adam BAJGER, I. PIERDOU, Lubomír POPELÍNSKÝ, Karel SEDLÁŘ and W. WECKWERTH. An Innovative Perspective on Metabolomics Data Analysis in Biomedical Research Using Concept Drift Detection. Online. In Yufei Huang and Lukasz A. Kurgan and Feng Luo and Xiaohua Hu and Yidong Chen and Edward R. Dougherty and Andrzej Kloczkowski and Yaohang Li. Proceedings of BIBM 2021. Houston, TX, USA: IEEE, 2021, p. 3075-3082. ISBN 978-1-6654-0126-5. Available from: https://dx.doi.org/10.1109/BIBM52615.2021.9669418.
      Name in Czech: An Innovative Perspective on Metabolomics Data Analysis in Biomedical Research Using Concept Drift Detection
      Name (in English): An Innovative Perspective on Metabolomics Data Analysis in Biomedical Research Using Concept Drift Detection
      RIV/00216224:14330/21:00126185 Proceedings paper. English. Czech Republic.
      Schwarzerová, Jana (203 Czech Republic) -- Bajger, Adam (203 Czech Republic, belonging to the institution) -- Popelínský, Lubomír (203 Czech Republic, belonging to the institution) -- Sedlář, Karel (203 Czech Republic)
      Keywords in English: Machine Learning; Concept drift; Metabolomics Analysis; Biomedical engineering; Computational biomedical analysis; Metabolomic prediction
      International impact: yes
      Reviewed: yes
      Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 28/3/2023 11:24.
      More: https://is.muni.cz/publication/1863712/en
Displayed: 26/11/2024 14:14