Skip to main content
Fig. 3 | BMC Bioinformatics

Fig. 3

From: scEvoNet: a gradient boosting-based method for prediction of cell state evolution

Fig. 3

Primary tumor vs metastasis comparison. A UMAPs for the primary human breast cancer (left) and metastasis in the lymph node (right). B The confusion matrix shows different rates of similarity between different clusters of cancer cells in primary tumor and metastasis (the p_ prefix is for primary, and the m_ prefix is for metastasis). The values in the confusion matrix are the correlations between two lists of scores for all cell type models. C Two subnetworks of the relation of the cluster of cancer cells in primary tumor and cancer cells in metastasis. On the left subnetwork, we show only genes related to some other cell types, on the right subnetwork we selected genes that are directly connected to clusters of interest

Back to article page