Figure 2. by Guolian Wu (21464168)

“…Protein-protein interaction (PPI) network was constructed, and five candidate hub genes (<i>AURKB, BUB1, CCL2, IL-4</i>, and <i>TOP2A)</i> were identified. Immune cell infiltration analysis gusing the XCell algorithm showed increased levels of Monocytes, neutrophils, and other immune cells in KD, while B cells and T cells were decreased. …”

KEGG Enrichment Analysis. by Guolian Wu (21464168)

“…Protein-protein interaction (PPI) network was constructed, and five candidate hub genes (<i>AURKB, BUB1, CCL2, IL-4</i>, and <i>TOP2A)</i> were identified. Immune cell infiltration analysis gusing the XCell algorithm showed increased levels of Monocytes, neutrophils, and other immune cells in KD, while B cells and T cells were decreased. …”

Figure 1. by Guolian Wu (21464168)

“…Protein-protein interaction (PPI) network was constructed, and five candidate hub genes (<i>AURKB, BUB1, CCL2, IL-4</i>, and <i>TOP2A)</i> were identified. Immune cell infiltration analysis gusing the XCell algorithm showed increased levels of Monocytes, neutrophils, and other immune cells in KD, while B cells and T cells were decreased. …”

Gene Name to ID Conversion. by Guolian Wu (21464168)

“…Protein-protein interaction (PPI) network was constructed, and five candidate hub genes (<i>AURKB, BUB1, CCL2, IL-4</i>, and <i>TOP2A)</i> were identified. Immune cell infiltration analysis gusing the XCell algorithm showed increased levels of Monocytes, neutrophils, and other immune cells in KD, while B cells and T cells were decreased. …”

Bar Chart. by Guolian Wu (21464168)

“…Protein-protein interaction (PPI) network was constructed, and five candidate hub genes (<i>AURKB, BUB1, CCL2, IL-4</i>, and <i>TOP2A)</i> were identified. Immune cell infiltration analysis gusing the XCell algorithm showed increased levels of Monocytes, neutrophils, and other immune cells in KD, while B cells and T cells were decreased. …”

Filter Samples with p < 0.05. by Guolian Wu (21464168)

“…Protein-protein interaction (PPI) network was constructed, and five candidate hub genes (<i>AURKB, BUB1, CCL2, IL-4</i>, and <i>TOP2A)</i> were identified. Immune cell infiltration analysis gusing the XCell algorithm showed increased levels of Monocytes, neutrophils, and other immune cells in KD, while B cells and T cells were decreased. …”

KEGG Diagram. by Guolian Wu (21464168)

“…Protein-protein interaction (PPI) network was constructed, and five candidate hub genes (<i>AURKB, BUB1, CCL2, IL-4</i>, and <i>TOP2A)</i> were identified. Immune cell infiltration analysis gusing the XCell algorithm showed increased levels of Monocytes, neutrophils, and other immune cells in KD, while B cells and T cells were decreased. …”

Grouping and Sorting. by Guolian Wu (21464168)

“…Protein-protein interaction (PPI) network was constructed, and five candidate hub genes (<i>AURKB, BUB1, CCL2, IL-4</i>, and <i>TOP2A)</i> were identified. Immune cell infiltration analysis gusing the XCell algorithm showed increased levels of Monocytes, neutrophils, and other immune cells in KD, while B cells and T cells were decreased. …”

Violin Plot. by Guolian Wu (21464168)

“…Protein-protein interaction (PPI) network was constructed, and five candidate hub genes (<i>AURKB, BUB1, CCL2, IL-4</i>, and <i>TOP2A)</i> were identified. Immune cell infiltration analysis gusing the XCell algorithm showed increased levels of Monocytes, neutrophils, and other immune cells in KD, while B cells and T cells were decreased. …”

XCell Algorithm for Immune Cell Matrix. by Guolian Wu (21464168)

“…Protein-protein interaction (PPI) network was constructed, and five candidate hub genes (<i>AURKB, BUB1, CCL2, IL-4</i>, and <i>TOP2A)</i> were identified. Immune cell infiltration analysis gusing the XCell algorithm showed increased levels of Monocytes, neutrophils, and other immune cells in KD, while B cells and T cells were decreased. …”

Effect of DM, and/or <i>M. charantia</i> on the (I) glucose; (II) HOMA IR, (III) QUICKI levels; (IV) GLUT4; (V) AMPK; (VI) insulin; (VII) leptin levels in the control and different... by Amoura M. Abou-El-Naga (21001524)

Effect of DM, and/or <i>M. charantia</i> on the neurotransmitters levels, acetylcholine (I) and dopamine (II). by Amoura M. Abou-El-Naga (21001524)

Effect of DM, and/or <i>M. charantia</i> on the (I) number of corpuses lutea; (II) number of neonates, (III) weight of neonates; (IV) length of neonates levels in the control and d... by Amoura M. Abou-El-Naga (21001524)

Effect of DM, and/or <i>M. charantia</i> on the immuno-expressional level of NGF protein in maternal cerebellar tissue of different groups. by Amoura M. Abou-El-Naga (21001524)

“…Figs <b>(E & F):</b> Diabetic mothers have a significant decrease in the expression of NGF protein across all three layers of the cerebellar cortex. …”

Regression situation of each cross-section. by Puzhen An (21169189)

“…Furthermore, as the coarse particle content rises, the strata loss rate tends to decrease gradually. The final settlement curve, calculated using the method that considers changes in coarse particle content, is closer to the measured values. …”

Statistical Table of Formation Loss Rate <i>V1.</i> by Puzhen An (21169189)

“…Furthermore, as the coarse particle content rises, the strata loss rate tends to decrease gradually. The final settlement curve, calculated using the method that considers changes in coarse particle content, is closer to the measured values. …”

Fitting Results for Each Operating Condition. by Puzhen An (21169189)

“…Furthermore, as the coarse particle content rises, the strata loss rate tends to decrease gradually. The final settlement curve, calculated using the method that considers changes in coarse particle content, is closer to the measured values. …”

Co-localization of MMP13 with DCLK1 in various models of colitis. by Kafayat Yusuf (22104155)

(A) Activity of SOD under B stress; (B) Activity of POD under B stress; (C) Activity of CAT under B stress; (D) Activity of APX under B stress; (E) Content of MDA under B stress ac... by Qiang Li (8118)

Feature importance generated by a logistic regression classifier to differentiate benign and malignant myxoid tumors. by Joshua M. Lawrenz (20623563)