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pro vyhledávání: '"Janna Ore Nugent"'
Autor:
Zexian Zeng, Chengsheng Mao, Andy Vo, Xiaoyu Li, Janna Ore Nugent, Seema A. Khan, Susan E. Clare, Yuan Luo
Publikováno v:
BMC Bioinformatics, Vol 22, Iss S4, Pp 1-13 (2021)
Abstract Background Genetic information is becoming more readily available and is increasingly being used to predict patient cancer types as well as their subtypes. Most classification methods thus far utilize somatic mutations as independent feature
Externí odkaz:
https://doaj.org/article/039ab7f7844f490e8b53a1ab45ad0851
Autor:
Seema A. Khan, Chengsheng Mao, Xiaoyu Li, Janna Ore Nugent, Susan E. Clare, Yuan Luo, Andy H. Vo, Zexian Zeng
Publikováno v:
BMC Bioinformatics, Vol 22, Iss S4, Pp 1-13 (2021)
BMC Bioinformatics
BMC Bioinformatics
Background Genetic information is becoming more readily available and is increasingly being used to predict patient cancer types as well as their subtypes. Most classification methods thus far utilize somatic mutations as independent features for cla
Autor:
Janna Ore Nugent, Yuan Luo, Susan E. Clare, Seema A. Khan, Chengsheng Mao, Andy H. Vo, Zexian Zeng
Genetic information is becoming more readily available and is increasingly being used to predict patient cancer types as well as their subtypes. Most classification methods thus far utilize somatic mutations as independent features for classification
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f145959aaa60c5b9768295b9630ab5a
https://doi.org/10.1101/612762
https://doi.org/10.1101/612762