Predicting the Clinical Outcome of Triple-Negative Breast Cancer Based on the Gene Expression Characteristics of Necroptosis and Different Molecular Subtypes

<div>Identifying the genes related to necroptosis in the RNAseq data set. (a) Univariate regression between DEGs and TNBC prognosis. (b) LASSO coefficient distribution regarding genes possessing prognostic value. (c) A 5 cross-validation was utilized for selecting the optimal parameters in the model. (d) The coefficient of each gene in the optimal model.</div>

Stem Cells International

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Figure 5

Figure 5: Predicting the Clinical Outcome of Triple-Negative Breast Cancer Based on the Gene Expression Characteristics of Necroptosis and Different Molecular Subtypes 

Figure 5 | Predicting the Clinical Outcome of Triple-Negative Breast Cancer Based on the Gene Expression Characteristics of Necroptosis and Different Molecular Subtypes 