Corrigendum: Construction and validation of a robust prognostic model based on immune features in sepsis

[This corrects the article DOI: 10.3389/fimmu.2022.994295.].

In the published article, there was an error. The 'pheatmap' R package should be corrected to 'ggplot2' R package; false discovery rate (FDR) should be corrected to P-value.
A correction has been made to Materials and Methods, Differential expression analysis in sepsis. This sentence previously stated: "All the genes in GSE65682 were differentially analyzed by using limma R packages (http://www.bioconductor.org/packages/release/bioc/html/limma.html) (11). The parameter for DEGs screened was│Log2Foldchange│≥0.5 and false discovery rate (FDR) < 0.05. The Volcano plots were drawn by 'pheatmap' R package. Then, the IRGs that were overlapping with DEGs were identified as DEIRGs. Similarly, DETFs were obtained by matching TFs with DEGs." The corrected sentence appears below: "All the genes in GSE65682 were differentially analyzed by using limma R packages (http://www.bioconductor.org/packages/release/bioc/html/limma.html) (11). The parameter for DEGs screened was│Log2Foldchange│≥0.5 and P-value <0.05. The Volcano plots were drawn by 'ggplot2' R package. Then, the IRGs that were overlapping with DEGs were identified as DEIRGs. Similarly, DETFs were obtained by matching TFs with DEGs." In the published article, there was an error. The 'survival R' package should be corrected to 'survival' R package.
A further correction has been made to Materials and Methods, Construction of the prognostic prediction model in sepsis and development of nomogram, paragraph 1. This section previously stated: "Based on the univariate Cox regression analysis, prognostic DEIRGs were recognized as the biomarkers for multivariate Cox regression analysis. According to the median risk score value, conducted between low-risk and high-risk groups by using 'survival R' package. To evaluate the sensitivity and specificity of the prediction model, the receiver operating characteristics (ROC) curve was calculated using the 'survivalROC' package. The area under the ROC curve (AUC) was used to evaluate the prognostic model: 0.5-0.7 (moderate), 0.7-0.8 (better), and >0.9 (excellent)." The corrected sentence appears below: "Based on the univariate Cox regression analysis, prognostic DEIRGs were recognized as the biomarkers for multivariate Cox regression analysis. According to the median risk score value, conducted between low-risk and high-risk groups by using 'survival' R package. To evaluate the sensitivity and specificity of the prediction model, the receiver operating characteristics (ROC) curve was calculated using the 'survivalROC' package. The area under the ROC curve (AUC) was used to evaluate the prognostic model: 0.5-0.7 (moderate), 0.7-0.8 (better), and >0.9 (excellent)." In the published article, there was an error in Table 1 as published. The name of dataset "GSE63062" was wrong, and it should be changed to "GSE63042". The corrected Table 1 and its caption "Basic information of the datasets included in this study." appear below.
The authors apologize for these errors and state that they do not change the scientific conclusions of the article in any way. The original article has been updated.

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