Table 6_Identification and validation of neutrophil-related biomarkers in acute-on-chronic liver failure.xlsx by Wei Lin (6475)

“…However, the molecular mechanisms of neutrophils involved in the pathophysiology of the ACLF remains poorly understood. Data downloaded from the GEO database (GSE142255) was used to identify both ACLF and neutrophil-related genes with the help of the limma package and Weighted Gene Co-Expression Network Analysis (WGCNA) algorithms. …”

Table 7_Identification and validation of neutrophil-related biomarkers in acute-on-chronic liver failure.xlsx by Wei Lin (6475)

“…However, the molecular mechanisms of neutrophils involved in the pathophysiology of the ACLF remains poorly understood. Data downloaded from the GEO database (GSE142255) was used to identify both ACLF and neutrophil-related genes with the help of the limma package and Weighted Gene Co-Expression Network Analysis (WGCNA) algorithms. …”

Table 8_Identification and validation of neutrophil-related biomarkers in acute-on-chronic liver failure.xlsx by Wei Lin (6475)

“…However, the molecular mechanisms of neutrophils involved in the pathophysiology of the ACLF remains poorly understood. Data downloaded from the GEO database (GSE142255) was used to identify both ACLF and neutrophil-related genes with the help of the limma package and Weighted Gene Co-Expression Network Analysis (WGCNA) algorithms. …”

Table 5_Identifying metabolism-related genes in liver cancer through weighted gene co-expression network analysis and machine learning.docx by Taorui Wang (22300702)

“…</p>Methods<p>Transcriptomic data from TCGA were analyzed using EdgeR to identify differentially expressed genes (DEGs). …”

Image 3_Construction of a circadian rhythm-related gene signature for predicting the prognosis and immune infiltration of breast cancer.tif by Lin Ni (5337725)

“…Three different machine learning algorithms were used to screen out the characteristic circadian genes associated with BC prognosis. …”

Image 3_Integrating scRNA-seq and machine learning identifies MNAT1 as a therapeutic target in OSCC.tif by Han Gao (486886)

“…</p>Method<p>T cell-Related Ubiquitination genes were identified based on scRNA-seq analysis, and key genes were selected using WGCNA and LASSO algorithms to construct a prognostic model. …”

Table 2_Multi-omics analysis reveals ultraviolet response insights for immunotherapy and prognosis.docx by DanHua Zhang (22315099)

“…Key genes (Hub-UVR.Sig) were identified via six machine learning algorithms, and breast cancer (BRCA) subtypes were classified through consensus clustering. …”

Image 2_Integrating scRNA-seq and machine learning identifies MNAT1 as a therapeutic target in OSCC.tif by Han Gao (486886)

“…</p>Method<p>T cell-Related Ubiquitination genes were identified based on scRNA-seq analysis, and key genes were selected using WGCNA and LASSO algorithms to construct a prognostic model. …”

Table 2_A nomogram for predicting the nature of thyroid adenomatoid nodules on ultrasound: a dual-center study.docx by Sheng Cheng (202385)

“…Firstly, radiomics nomograms (R_Nomogram) and clinical nomograms (C_Nomogram) were constructed using eight machine-learning algorithms. The best R_Nomogram and C_Nomogram generated the Radiomics-clinical nomogram (R-C_nomogram). …”

Image 4_Construction of a circadian rhythm-related gene signature for predicting the prognosis and immune infiltration of breast cancer.tif by Lin Ni (5337725)

“…Three different machine learning algorithms were used to screen out the characteristic circadian genes associated with BC prognosis. …”

Table 1_Machine learning-based predictive model for enteral nutrition-associated diarrhea in ICU patients and its nursing applications.docx by Xiaoying Liao (21159071)

“…LASSO regression was used for feature selection, and 9 machine learning (ML) algorithms were evaluated. …”

Image 1_Integrating scRNA-seq and machine learning identifies MNAT1 as a therapeutic target in OSCC.tif by Han Gao (486886)

“…</p>Method<p>T cell-Related Ubiquitination genes were identified based on scRNA-seq analysis, and key genes were selected using WGCNA and LASSO algorithms to construct a prognostic model. …”

Table 1_Potential biomarkers and immune infiltration linking endometriosis with recurrent pregnancy loss based on bioinformatics and machine learning.xlsx by Jianhui Chen (1362585)

“…Protein-protein interaction (PPI) network and two machine learning algorithms were applied to identify the common core genes in both diseases. …”

Image 2_Integrative prognostic modeling for stage III lung adenosquamous carcinoma post-tumor resection: machine learning insights and web-based implementation.png by Min Liang (363007)

“…</p>Methods<p>Utilizing data from the Surveillance, Epidemiology, and End Results database spanning 2000 to 2018, this study identified independent prognostic factors influencing Overall Survival (OS) in ASC using Boruta analysis. …”

Image 1_Construction of a circadian rhythm-related gene signature for predicting the prognosis and immune infiltration of breast cancer.tif by Lin Ni (5337725)

“…Three different machine learning algorithms were used to screen out the characteristic circadian genes associated with BC prognosis. …”

Image 1_Deep learning and multi-omics reveal programmed cell death-associated diagnostic signatures and prognostic biomarkers in gastric cancer.pdf by Qiaoying Jin (21489770)

“…Experimental validation was conducted using the Human Protein Atlas (HPA) and RT-qPCR in clinical samples. …”

Image 2_Integrated transcriptomic and single-cell RNA-seq analysis identifies CLCNKB, KLK1 and PLEKHA4 as key gene of AKI-to-CKD progression.tif by Fanhua Zeng (2097133)

“…Biomarkers were subsequently identified using machine learning algorithms, receiver operating characteristic curve analysis, expression analysis and experimental verification. …”

Image 1_Immune-related RELT drives clear cell renal cell carcinoma progression through JAK/STAT signaling pathway activation.tiff by Yini Wang (410389)

“…</p>Methods<p>The relationship between differential expression of RELT in ccRCC and clinical prognosis was investigated based on data from the Gene Expression Omnibus database (GEO) and The Cancer Genome Atlas (TCGA) databases. …”

Image 2_Immune-related RELT drives clear cell renal cell carcinoma progression through JAK/STAT signaling pathway activation.tiff by Yini Wang (410389)

“…</p>Methods<p>The relationship between differential expression of RELT in ccRCC and clinical prognosis was investigated based on data from the Gene Expression Omnibus database (GEO) and The Cancer Genome Atlas (TCGA) databases. …”

Table 1_Multi-omics analysis reveals ultraviolet response insights for immunotherapy and prognosis.xlsx by DanHua Zhang (22315099)

“…Key genes (Hub-UVR.Sig) were identified via six machine learning algorithms, and breast cancer (BRCA) subtypes were classified through consensus clustering. …”