Principal component analysis graphs of the comparisons of control dystrophies with newly incorporated samples. (a) PCA graphs for the control versus NA comparison using characteristics 21, 33 and 55 (control biceps: green dots; NA: blue dots) incorporating the control (dark green squares) and NA images (light blue squares) from a new dataset. The violet square represents the position of sample X05-1, a mixed neurogenic-dystrophic pattern. (b) PCA graphs for the comparisons of muscle images from control quadriceps (green dots) and MD quadriceps (red dots) using characteristics 13, 15, 18, 27 and 41. The position of the new images is represented by dark green squares (new control) and brown squares (new cases with dystrophic pattern). The violet square corresponds to the position of the sample with severe NA affected with dystrophy (X05-1). (c) Same plot showing the degree of pathology of the new samples (red numbers) and the correlation with distances to the centroid (black star). PCA, principal component analysis.
Sáez et al. BMC Medicine 2013 11:77 doi:10.1186/1741-7015-11-77