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

Simple item page
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

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
A NOVEL APPROACH FOR DETERMINING.pdf
Size:
94.17 KB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
6 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Abstracts