A novel approach for determining the optimal number of independent components for reproducible cancer transcriptomes data analysis

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dc.contributor.authorKairov, U.
dc.contributor.authorCantini, L.
dc.contributor.authorGreco, A.
dc.contributor.authorMolkenov, A.
dc.contributor.authorCzerwinska, U.
dc.contributor.authorBarillot, E.
dc.contributor.authorZinovyev, A.
dc.date.accessioned2017-09-20T04:37:44Z
dc.date.available2017-09-20T04:37:44Z
dc.date.issued2017-09-15
dc.identifier.citationKairov, U. et al. (2017) A novel approach for determining the optimal number of independent components for reproducible cancer transcriptomes data analysis. National Laboratory Astana, Nazarbayev Universityru_RU
dc.identifier.urihttp://nur.nu.edu.kz/handle/123456789/2635
dc.language.isoenru_RU
dc.publisherNational Laboratory Astana, Nazarbayev Universityru_RU
dc.rightsOpen Access - the content is available to the general publicru_RU
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/us/*
dc.subjecttranscriptomeru_RU
dc.subjectIndependent Component Analysisru_RU
dc.subjectreproducibilityru_RU
dc.subjectcancerru_RU
dc.titleA novel approach for determining the optimal number of independent components for reproducible cancer transcriptomes data analysisru_RU
dc.typeAbstractru_RU

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