Table_5_Bioinformatics-Based Identification of HDAC Inhibitors as Potential Drugs to Target EGFR Wild-Type Non-Small-Cell Lung Cancer.xlsx by Yizhe Wang (2287393)

“…In this study, we clustered functional modules related to the survival traits of EGFR-WT patients using weighted gene co-expression network analysis (WGCNA). …”

Table_11_Bioinformatics-Based Identification of HDAC Inhibitors as Potential Drugs to Target EGFR Wild-Type Non-Small-Cell Lung Cancer.xlsx by Yizhe Wang (2287393)

“…In this study, we clustered functional modules related to the survival traits of EGFR-WT patients using weighted gene co-expression network analysis (WGCNA). …”

Table_8_Bioinformatics-Based Identification of HDAC Inhibitors as Potential Drugs to Target EGFR Wild-Type Non-Small-Cell Lung Cancer.xlsx by Yizhe Wang (2287393)

“…In this study, we clustered functional modules related to the survival traits of EGFR-WT patients using weighted gene co-expression network analysis (WGCNA). …”

Table 1_Integrative machine learning and transcriptomic analysis identifies key molecular targets in MNPN-associated oral squamous cell carcinoma pathogenesis.xlsx by Xiangjun Wang (2522917)

“…</p>Methods<p>We employed a comprehensive computational framework integrating target prediction, transcriptomic analysis, weighted gene co-expression network analysis (WGCNA), and machine learning approaches. …”

Table_12_Bioinformatics-Based Identification of HDAC Inhibitors as Potential Drugs to Target EGFR Wild-Type Non-Small-Cell Lung Cancer.xlsx by Yizhe Wang (2287393)

“…In this study, we clustered functional modules related to the survival traits of EGFR-WT patients using weighted gene co-expression network analysis (WGCNA). …”

Table_7_Bioinformatics-Based Identification of HDAC Inhibitors as Potential Drugs to Target EGFR Wild-Type Non-Small-Cell Lung Cancer.xlsx by Yizhe Wang (2287393)

“…In this study, we clustered functional modules related to the survival traits of EGFR-WT patients using weighted gene co-expression network analysis (WGCNA). …”

Supplementary file 1_Probiotic modulation of maternal gut and milk microbiota and potential implications for infant microbial development in the perinatal period.docx by Kian Deng Tye (14200517)

“…Key microbiota diversity and richness were analyzed using linear discriminant analysis effect size (LEfSe) and weighted gene co-expression network analysis (WGCNA) to explore associations with diet and sample characteristics. …”

DataSheet_1_Bioinformatics-Based Identification of HDAC Inhibitors as Potential Drugs to Target EGFR Wild-Type Non-Small-Cell Lung Cancer.docx by Yizhe Wang (2287393)

“…In this study, we clustered functional modules related to the survival traits of EGFR-WT patients using weighted gene co-expression network analysis (WGCNA). …”

Table_2_Bioinformatics-Based Identification of HDAC Inhibitors as Potential Drugs to Target EGFR Wild-Type Non-Small-Cell Lung Cancer.xlsx by Yizhe Wang (2287393)

“…In this study, we clustered functional modules related to the survival traits of EGFR-WT patients using weighted gene co-expression network analysis (WGCNA). …”

Table_4_Bioinformatics-Based Identification of HDAC Inhibitors as Potential Drugs to Target EGFR Wild-Type Non-Small-Cell Lung Cancer.xlsx by Yizhe Wang (2287393)

“…In this study, we clustered functional modules related to the survival traits of EGFR-WT patients using weighted gene co-expression network analysis (WGCNA). …”

Table 2_Comprehensive analysis of immunogenic cell death-related genes in liver ischemia-reperfusion injury.xlsx by Kai Lu (166354)

“…The RF and SVM machine learning algorithms were finally chosen to construct the models. …”

Table_10_Bioinformatics-Based Identification of HDAC Inhibitors as Potential Drugs to Target EGFR Wild-Type Non-Small-Cell Lung Cancer.xlsx by Yizhe Wang (2287393)

“…In this study, we clustered functional modules related to the survival traits of EGFR-WT patients using weighted gene co-expression network analysis (WGCNA). …”

Table_9_Bioinformatics-Based Identification of HDAC Inhibitors as Potential Drugs to Target EGFR Wild-Type Non-Small-Cell Lung Cancer.xlsx by Yizhe Wang (2287393)

“…In this study, we clustered functional modules related to the survival traits of EGFR-WT patients using weighted gene co-expression network analysis (WGCNA). …”

Table_3_Bioinformatics-Based Identification of HDAC Inhibitors as Potential Drugs to Target EGFR Wild-Type Non-Small-Cell Lung Cancer.xlsx by Yizhe Wang (2287393)

“…In this study, we clustered functional modules related to the survival traits of EGFR-WT patients using weighted gene co-expression network analysis (WGCNA). …”

Supplementary Material for: FCGR3A Drives Innate Immune Activation via M1 Macrophage Polarization in Pediatric IBD by figshare admin karger (2628495)

“…The relationship between hub genes and immune infiltration was further explored. Functional assays included lipopolysaccharide (LPS)-stimulated intestinal epithelial and THP-1 macrophage models, as well as a dextran sulfate sodium (DSS)-induced murine colitis model. …”

Table_1_Bioinformatics-Based Identification of HDAC Inhibitors as Potential Drugs to Target EGFR Wild-Type Non-Small-Cell Lung Cancer.xlsx by Yizhe Wang (2287393)

“…In this study, we clustered functional modules related to the survival traits of EGFR-WT patients using weighted gene co-expression network analysis (WGCNA). …”

Table_6_Bioinformatics-Based Identification of HDAC Inhibitors as Potential Drugs to Target EGFR Wild-Type Non-Small-Cell Lung Cancer.xlsx by Yizhe Wang (2287393)

“…In this study, we clustered functional modules related to the survival traits of EGFR-WT patients using weighted gene co-expression network analysis (WGCNA). …”

Table 1_Comprehensive analysis of immunogenic cell death-related genes in liver ischemia-reperfusion injury.xlsx by Kai Lu (166354)

“…The RF and SVM machine learning algorithms were finally chosen to construct the models. …”

Presentation 1_Identification and validation of lactate-related gene signatures in endometriosis for clinical evaluation and immune characterization by WGCNA and machine learning.p... by Jixin Li (5801207)

“…Machine learning algorithms, single-cell datasets, and clinical samples were used to further identify and validate core LR-DEGs. …”

Table1_Combining bioinformatics and machine learning to identify common mechanisms and biomarkers of chronic obstructive pulmonary disease and atrial fibrillation.xlsx by Ziyi Sun (213357)

“…Machine learning algorithms were also used to identify key biomarkers. …”