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pro vyhledávání: '"Schimek, Michael G."'
Multi-view clustering methods are essential for the stratification of patients into sub-groups of similar molecular characteristics. In recent years, a wide range of methods has been developed for this purpose. However, due to the high diversity of c
Externí odkaz:
http://arxiv.org/abs/2209.15399
Autor:
Schimek, Michael G.
Publikováno v:
GMS Medizinische Informatik, Biometrie und Epidemiologie, Vol 1, Iss 2, p Doc09 (2005)
In Germany around 25 years ago nonparametric smoothing methods have found their way into statistics and with some delay also into biometry. In the early 1980's there has been what one might call a boom in theoretical and soon after also in computatio
Externí odkaz:
https://doaj.org/article/5c3092be1d524cfaaa95db2138fb5b05
Publikováno v:
In Journal of Biomedical Informatics July 2023 143
Autor:
Pfeifer, Bastian, Schimek, Michael G.
Publikováno v:
In Journal of Biomedical Informatics January 2021 113
Akademický článek
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Autor:
Golob-Schwarzl, Nicole, Bettermann, Kira, Mehta, Anita Kuldeep, Kessler, Sonja M., Unterluggauer, Julia, Krassnig, Stefanie, Kojima, Kensuke, Chen, Xintong, Hoshida, Yujin, Bardeesy, Nabeel M., Müller, Heimo, Svendova, Vendula, Schimek, Michael G., Diwoky, Clemens, Lipfert, Alexandra, Mahajan, Vineet, Stumptner, Cornelia, Thüringer, Andrea, Fröhlich, Leopold F., Stojakovic, Tatjana, Nilsson, K.P.R., Kolbe, Thomas, Rülicke, Thomas, Magin, Thomas M., Strnad, Pavel, Kiemer, Alexandra K., Moriggl, Richard, Haybaeck, Johannes
Publikováno v:
In Translational Oncology February 2019 12(2):256-268
Autor:
Švendová, Vendula, Schimek, Michael G.
Publikováno v:
In Computational Statistics and Data Analysis November 2017 115:122-135
Autor:
Hall, Peter, Schimek, Michael G.
Publikováno v:
Journal of the American Statistical Association, 2012 Jun 01. 107(498), 661-672.
Externí odkaz:
https://www.jstor.org/stable/23239601
Autor:
Pfeifer, Bastian, Voicu-Spineanu, Andrei, Schimek, Michael G, Alachiotis, Nikolaos, Huang, Yufei, Kurgan, Lukasz, Luo, Feng, Hu, Xiaohua Tony, Chen, Yidong, Dougherty, Edward, Kloczkowski, Andrzej, Li, Yaohang
Publikováno v:
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 720-725
STARTPAGE=720;ENDPAGE=725;TITLE=2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
STARTPAGE=720;ENDPAGE=725;TITLE=2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
Multi-omics clustering methods are used for the stratification of patients into sub-groups of similar molecular characteristics. In recent years, a wide range of methods has been developed for this purpose. However, due to the high diversity of cance
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26c345acb305e0327a0d6b60b2be5cdc
https://research.utwente.nl/en/publications/e72cbbbf-f763-45ab-86bf-2d948df3cb9f
https://research.utwente.nl/en/publications/e72cbbbf-f763-45ab-86bf-2d948df3cb9f
Akademický článek
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