Classification error rates of three methods on DLBCL data.
收藏Figshare2015-12-02 更新2026-04-29 收录
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Samples from 16 patients diagnosed with Diffuse Large B-cell Lymphoma (DLBCL) were clustered using JCM, HDPGMM, and FLAME. For both JCM and HDPGMM, a class template is computed for the entire batch of samples, while FLAME performs post hoc alignment of the results given by FLAME-I, where FLAME-I denotes the procedure with FLAME applied to each individual sample considered separately. The final row shows the average misclassification rate (AMCR) for each method. Clearly, JCM shows overall superior performance.
创建时间：
2015-12-02
