English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Zendy Open

Presents the pdf analysis as premium feature

PDF Analysis

Insights

Presents the summarisation as premium feature

Summarisation

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the zaia usage as premium feature

ZAIA

Zendy Tools

Zendy Plus

Presents the access of premium content as premium feature

Premium Content

We present a mathematical model, and the corresponding mathematical analysis,that justifies and quantifies the use of principal component analysis ofbiallelic genetic marker data for a set of individuals to detect the number ofsubpopulations represented in the data. We indicate that the power of thetechnique relies more on the number of individuals genotyped than on the numberof markers.

Separation of the largest eigenvalues in eigenanalysis of genotype data from discrete subpopulations