Figure 4: Acute myeloid leukemia (AML) subject detected as an outlier by the algorithms.
From: Critical assessment of automated flow cytometry data analysis techniques
(a) Total number of misclassifications for each sample in the test set (sample nos. 180–359) of the AML data set. (b–g) Forward scatter (FSC)/side scatter (b–d) and FSC/CD34 (e–g) plots of representative normal (b,e) and AML (c,f) samples and the outlier sample no. 340 (d,g), with the CD34+ cells highlighted in red. Cell proportions of the CD34+ population are reported as blast frequency (freq.) percentages.
