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pro vyhledávání: '"Heesbeen, R. van"'
Autor:
Omta, W., Heesbeen, R. van, Shen, I., Feelders, A., Brinkhuis, M., Egan, D., Spruit, M., Sub Software Production, Sub Algorithmic Data Analysis, Sub Natural Language Processing, Sub Softw.Techn. for Learning and Teach., Algorithmic Data Analysis, Natural Language Processing, Software Technology for Learning and Teaching
Publikováno v:
Families, Systems and Health, 3(1), 1. Mary Ann Liebert inc
Life science experiments that employ automated technologies, such as high-content screens, frequently produce large datasets that require substantial amounts of preprocessing before analysis can be carried out. Standardization of this preprocessing b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33c9a67e98df070b836961056590e5b4
https://dspace.library.uu.nl/handle/1874/394512
https://dspace.library.uu.nl/handle/1874/394512
Autor:
Omta, W., Heesbeen, R. van, Pagliero, R., Velden, L. van der, Lelieveld, D., Nellen, M., Kramer, M., Yeong, M., Saeidi, A., Medema, R., Spruit, M., Brinkkemper, S., Klumperman, J., Egan, D., Sub Software Production, Paraveterinairen, Sub Software Technology, LS Vet. Fysiologie en Anatomie, Software Production
Publikováno v:
Assay and Drug Development Technologies, 14(8), 439. Mary Ann Liebert inc
Assay and Drug Development Technologies, 14(8), 439. Mary Ann Liebert Inc.
Assay and Drug Development Technologies, 14(8), 439. Mary Ann Liebert Inc.
High-content screening (HCS) can generate large multidimensional datasets and when aligned with the appropriate data mining tools, it can yield valuable insights into the mechanism of action of bioactive molecules. However, easy-to-use data mining to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f3e74a099c69d81eccb3b1d0b0db9f1a
https://dspace.library.uu.nl/handle/1874/342966
https://dspace.library.uu.nl/handle/1874/342966