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Feature selection methods and genomic big data: a systematic review

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dc.contributor.author Tadist, Khawla
dc.contributor.author Najah, Said
dc.contributor.author Nikolov, Nikola S.
dc.contributor.author Mrabti, Fatiha
dc.contributor.author Zahi, Azeddine
dc.date.accessioned 2019-09-20T09:12:50Z
dc.date.available 2019-09-20T09:12:50Z
dc.date.issued 2019
dc.identifier.uri http://hdl.handle.net/10344/8052
dc.description peer-reviewed en_US
dc.description.abstract In the era of accelerating growth of genomic data, feature-selection techniques are believed to become a game changer that can help substantially reduce the complexity of the data, thus making it easier to analyze and translate it into useful information. It is expected that within the next decade, researchers will head towards analyzing the genomes of all living creatures making genomics the main generator of data. Feature selection techniques are believed to become a game changer that can help substantially reduce the complexity of genomic data, thus making it easier to analyze it and translating it into useful information. With the absence of a thorough investigation of the field, it is almost impossible for researchers to get an idea of how their work relates to existing studies as well as how it contributes to the research community. In this paper, we present a systematic and structured literature review of the feature-selection techniques used in studies related to big genomic data analytics en_US
dc.language.iso eng en_US
dc.publisher SpringerOpen en_US
dc.relation.ispartofseries Journal of Big Data;6,79
dc.subject Systematic review en_US
dc.subject Mapping process en_US
dc.subject Genomic big data en_US
dc.subject Feature selection en_US
dc.title Feature selection methods and genomic big data: a systematic review en_US
dc.type info:eu-repo/semantics/article en_US
dc.type.supercollection all_ul_research en_US
dc.type.supercollection ul_published_reviewed en_US
dc.identifier.doi 10.1186/s40537-019-0241-0
dc.rights.accessrights info:eu-repo/semantics/openAccess en_US


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