Skip to main content
Fig. 3 | BMC Bioinformatics

Fig. 3

From: Detection of continuous hierarchical heterogeneity by single-cell surface antigen analysis in the prognosis evaluation of acute myeloid leukaemia

Fig. 3

Differentiation conservative feature selection strategy and its application in sample no. 570407. a “Dispersive antigens in neighbouring clusters exhibition (DANCE)” feature selection strategy: AML branching evolution model is generated by excess surface antigens. A group of neighbouring clusters (blue frame) was assembled by Euclidean distance and each molecule in the group (grey frame) presented with diverse variance (represented by V). There are several neighbouring groups (orange frames) generated for differentiation feature counting; b time-series heatmap derived from 16 markers with a higher expression rate identified each cell with a primitive pseudotime; c time-series heatmap derived from the panel after DANCE selection and identified each cell with a pseudotime based on selected panel; d pseudotime correlation between primitive and selected panel-inferred trajectory (R = 0.91); e pseudotime correlation between feature selected and final panel-derived from the DANCE panel of 43 clinical samples (R = 0.90)

Back to article page