Fig. 1: Principal component analysis (PCA) and study design based on sample distribution.
From: Liquid biopsy diagnostics for non-small cell lung cancer via elucidation of tRNA signatures
a Sample size and diagnostic classification for each dataset included in the study. Bar colors represent different diagnostic categories. b PCA plot of all samples, where each point represents a specimen. Green points indicate control samples (normal and benign), orange points represent cancer samples. The shape of each point corresponds to its dataset of origin. c Schematic representation of the study’s methodological framework.
