MitoDEGs in DCM. by Wenlong Kuang (20485167)

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Construction of weighted co-expression network related datasets and identification of related key modules. by Wenlong Kuang (20485167)

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Partial amino acids sequence alignment between <i>Dd</i>interaptin and <i>Eh</i>interaptin and Coiled-coil (CC) structure prediction for <i>Eh</i>interaptin (EHI_148910). by Han Jiang (195350)

Structure of the work presented in this manuscript. by Aimilia-Christina Vagiona (17584758)

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Edges of the hPIN. by Aimilia-Christina Vagiona (17584758)

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Training dataset of experimentally known phosphorylation and dephosphorylation PPIs. by Aimilia-Christina Vagiona (17584758)

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Prediction scores of directed PTM-PPIs. by Aimilia-Christina Vagiona (17584758)

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Data Sheet 1_Explainable machine learning reveals ribosome biogenesis biomarkers in preeclampsia risk prediction.docx by Jingjing Chen (293564)

“…A random forest model incorporating six key feature genes (GLUL, DDX28, NCL, RIOK1, SUV39H1, RRS1) demonstrated robust diagnostic performance, achieving an AUC of 0.972 in the training dataset and 0.917 in the validation dataset. …”

Alignment of TSPANs in <i>Entamoeba histolytica</i>. by Han Jiang (195350)

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

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

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

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

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

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

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

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Additional files. by 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. by Devi Soorya Narayana Sasikumar (22331743)

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