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The characteristics of primary tumors and lymph nodes are summarized in Table 1 according to histological type.
The degrees of the nodes are summarized by the diagonal matrix D (D ii = ∑j Aij, with Aij the elements of the adjacency matrix, A).
Resulting clusters are then abstracted to super-nodes, which means that a new graph is constructed, where each node represents a cluster in the original graph, and edges between original nodes are summarized into super-edges in the abstracted graph.
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The relative positioning of the nodes is summarized by the distance between each pair of nodes.
For accounting on phylogeny uncertainty, ancestral area analyses were carried out on 500 random trees selected from the posterior distribution estimated from BEAST, and information on nodes were summarized and plotted as pie charts.
Patient, tumor and lymph node characteristics are summarized in Table 1.
In this study, clinical characteristics of the 148 ESCC patients, including gender, age, tumor differentiation, pathological stage, tumor status, and lymph node status, are summarized in Table 1.
The importance values of signaling components arising from single-node deletions are summarized in Figure S1, where the number of ESMs is calculated by the depth-first-search algorithm using the max operation (Additional file 1).
Demographics, tumor stage and size, tumor localization and lymph node status are summarized in Table 1.> Overall the proportion of patients undergoing any additional therapy to surgery (neoadjuvant and adjuvant) increased over time.
The importance values of signaling components obtained by single-node deletions are summarized in Figure 7(a) and Figure 7(b), respectively, where the number of ESMs is calculated by the depth-first-search algorithm using the max operation (Additional file 1).
The results of the DCC analysis in tumors of 63 patients with node-negative disease are summarized in Table 2.
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