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Fig. 6 | Cell & Bioscience

Fig. 6

From: Clusterization in acute myeloid leukemia based on prognostic alternative splicing signature to reveal the clinical characteristics in the bone marrow microenvironment

Fig. 6

AS-based clustering is associated with clinical characteristics and immune features. a Elbow method and Gap statistic method analysis for different numbers of clusters (k = 2 to 9). b Consensus matrix heatmap defined three clusters of samples, C1 (n = 60, 33.7%), C2 (n = 29, 16.3%), C3 (n = 89, 50.0%). c, d Distribution of immune scores and stromal scores between three clusters. e Heatmap of clinical characteristics (gender, age, cytogenetics risk category, FAB subtype, immune features) between three clusters. f, g Kaplan–Meier curves of OS and DFS for three AS-based clusters. Depicted P-values are from log-rank tests

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