Although genome-wide association studies (GWASs) have identified numerous loci associated with complex traits, imprecise modeling of the genetic relatedness within study samples may cause substantial ...

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Sample variance, often denoted as ‘s^2,’ is a measure used to determine how spread out a data set is. It helps reveal the degree to which the individual data points differ from the mean value of the ...

The program is an implementation of the above paper by Farhad Pourkamali-Anaraki (2016). The CovarianceMatrix class provides a biased and an unbiased estimator as proposed by the author and compares ...

This article was originally published on Built In by Eric Kleppen. Variance is a powerful statistic used in data analysis and machine learning. It is one of the four main measures of variability along ...