Box Plot from Scientific Research

Prediction performance from accessible tissues as reference ( n = 675 samples from 167 test GTEx donors). Mean imputation replaces missing values with the feature averages. Blood surrogate utilizes gene expression in whole blood as a proxy for the target tissue. k-nearest neighbours (kNN) imputes missing features with the average of measured values across the k-nearest observations ( k = 20). TEEBoT projects reference gene expression into a low-dimensional space with principal component analysis (30 components), followed by linear regression to predict target values. HYFA (all) employs information from all collected tissues of the individual. Boxes show quartiles, centrelines correspond to the median and whiskers depict the distribution range (1.5 times the interquartile range). Outliers outside the whiskers are shown as distinct points.

DOI