Comparison of recall rates for English translation text error recognition. حسب Danqiangyu Zhou (22146196)

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Model pseudocode. حسب Danqiangyu Zhou (22146196)

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Identification, validation, and functional analyses of hub immune-related genes. حسب Chengjun Yu (12136227)

Table S1 from Characterization of Non-Monotonic Relationships between Tumor Mutational Burden and Clinical Outcomes حسب Jordan Anaya (14850896)

The box plot depicting the differential expression validation of the hub genes in the external dataset GSE90081. حسب Devi Soorya Narayana Sasikumar (22331743)

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The Venn diagram showing the intersection of common genes between WGCNA and DEFeGs. حسب Devi Soorya Narayana Sasikumar (22331743)

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The classification report of the generated LASSO, RF, and SVM models. حسب Devi Soorya Narayana Sasikumar (22331743)

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a-c: (a) The nomogram model developed for the prognostic prediction of hub genes from the study. حسب Devi Soorya Narayana Sasikumar (22331743)

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a-h: The expression differences of the 8 hub genes in 18 immune infiltrating cells. حسب Devi Soorya Narayana Sasikumar (22331743)

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Illustrative insight into the role of NAMPT and SAT1 in ferroptosis and RA pathogenesis. حسب Devi Soorya Narayana Sasikumar (22331743)

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(a) The network topology analysis to identify the optimum soft threshold power. حسب Devi Soorya Narayana Sasikumar (22331743)

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The coregulatory network analysis of the hub genes from the study. حسب Devi Soorya Narayana Sasikumar (22331743)

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(a) The plot is visualized to understand the association between the number of trees in our RF model and its error rate. حسب Devi Soorya Narayana Sasikumar (22331743)

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Research process of our study. حسب Devi Soorya Narayana Sasikumar (22331743)

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Additional files. حسب Devi Soorya Narayana Sasikumar (22331743)

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(a) The volcano plot of GSE89408, where the red scatter represents the upregulated genes and the blue scatter represents the downregulated genes. (b) The heatmap of GSE89408. حسب Devi Soorya Narayana Sasikumar (22331743)

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Table 8_Integrative single-cell and spatial transcriptomics analysis reveals FLAD1 as a regulator of the immune microenvironment in hepatocellular carcinoma.xlsx حسب Peng Zhu (277243)

"…A modeling approach using 92 combinations of nine machine learning algorithms was applied, producing a predictive model with good performance. …"

Table 9_Integrative single-cell and spatial transcriptomics analysis reveals FLAD1 as a regulator of the immune microenvironment in hepatocellular carcinoma.xlsx حسب Peng Zhu (277243)

"…A modeling approach using 92 combinations of nine machine learning algorithms was applied, producing a predictive model with good performance. …"

Table 4_Integrative single-cell and spatial transcriptomics analysis reveals FLAD1 as a regulator of the immune microenvironment in hepatocellular carcinoma.xlsx حسب Peng Zhu (277243)

"…A modeling approach using 92 combinations of nine machine learning algorithms was applied, producing a predictive model with good performance. …"

Table 1_Integrative single-cell and spatial transcriptomics analysis reveals FLAD1 as a regulator of the immune microenvironment in hepatocellular carcinoma.xlsx حسب Peng Zhu (277243)

"…A modeling approach using 92 combinations of nine machine learning algorithms was applied, producing a predictive model with good performance. …"