It is not an overstatement to say that the default output for a Principal Components Analysis (PCA) biplot using the <b>biplot()</b> function in R is <i>gross</i>. An ...

Abstract: In microarray/RNAseq experiments, different samples used in the same experiment may have significant levels of heterogeneity. Here, heterogeneity refers to the unique temporospatial ...

cancer = pd.DataFrame(cancer_dataset.data, columns=cancer_dataset.feature_names) print('pca variance with 5 PCs: ',pcm5.explained_variance_) print('pca variance ratio ...

The detection of cryptic relatedness in large population-based cohorts is of great importance in genome research. The usual approach for detecting closely related individuals is to plot allele sharing ...