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pro vyhledávání: '"Tarek Khorshed"'
Publikováno v:
IEEE Access, Vol 8, Pp 90615-90629 (2020)
Cancer classification using gene expressions is extremely challenging given the complexity and high dimensionality of the data. Current classification methods typically rely on samples collected from a single tissue type and perform a prerequisite of
Externí odkaz:
https://doaj.org/article/a7ecd4dc7c9a4c6d8e78d4c90c748e1e
Publikováno v:
IEEE Access, Vol 8, Pp 90615-90629 (2020)
Cancer classification using gene expressions is extremely challenging given the complexity and high dimensionality of the data. Current classification methods typically rely on samples collected from a single tissue type and perform a prerequisite of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9089a1ffcff604fe35f4dd8d2e864fb5
https://ieeexplore.ieee.org/document/9087866/
https://ieeexplore.ieee.org/document/9087866/
Publikováno v:
BigDataService
Cancer classification using gene expressions is extremely challenging given the complexity and high dimensionality of the data. Current classification methods typically rely on samples collected from a single tissue type and perform a prerequisite of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::696ef8367d572e51300ef0d4508bf59e
https://doi.org/10.1109/bigdataservice49289.2020.00027
https://doi.org/10.1109/bigdataservice49289.2020.00027