Image 3_Targeting a distinct binding pocket in the pregnane X receptor with natural agonist TRLW-2 ameliorates murine ulcerative colitis.tif حسب Shangrui Rao (18189241)

"…</p>Methods<p>A distinct binding pocket (Pocket 1–5) within the PXR ligand-binding domain was identified using a multi-algorithm computational approach (SiteMap, Fpocket, Prank, CASTpFold). …"

Data Sheet 1_Integrative analysis of T cell-associated markers in Ewing sarcoma reveals prognostic signatures and immune dynamics.zip حسب Umair Ali Khan Saddozai (11000166)

"…Immune infiltration was assessed using the CIBERSORT algorithm.</p>Results<p>T cell marker analyses revealed key roles in pathways such as PI3K-Akt signaling and immune modulation. …"

Image 4_Targeting a distinct binding pocket in the pregnane X receptor with natural agonist TRLW-2 ameliorates murine ulcerative colitis.tif حسب Shangrui Rao (18189241)

"…</p>Methods<p>A distinct binding pocket (Pocket 1–5) within the PXR ligand-binding domain was identified using a multi-algorithm computational approach (SiteMap, Fpocket, Prank, CASTpFold). …"

Table 1_The analysis of gene co-expression network and immune infiltration revealed biomarkers between triple-negative and non-triple negative breast cancer.xlsx حسب Yao Yi (459571)

"…</p>Methods<p>The gene co-expression network and gene ontology analyses were used to identify the differential modules and their functions based on the GEO dataset of GSE76275. …"

Image 1_The analysis of gene co-expression network and immune infiltration revealed biomarkers between triple-negative and non-triple negative breast cancer.tif حسب Yao Yi (459571)

"…</p>Methods<p>The gene co-expression network and gene ontology analyses were used to identify the differential modules and their functions based on the GEO dataset of GSE76275. …"

Image 3_The analysis of gene co-expression network and immune infiltration revealed biomarkers between triple-negative and non-triple negative breast cancer.tif حسب Yao Yi (459571)

"…</p>Methods<p>The gene co-expression network and gene ontology analyses were used to identify the differential modules and their functions based on the GEO dataset of GSE76275. …"

Image 2_The analysis of gene co-expression network and immune infiltration revealed biomarkers between triple-negative and non-triple negative breast cancer.tif حسب Yao Yi (459571)

"…</p>Methods<p>The gene co-expression network and gene ontology analyses were used to identify the differential modules and their functions based on the GEO dataset of GSE76275. …"

Table 2_The analysis of gene co-expression network and immune infiltration revealed biomarkers between triple-negative and non-triple negative breast cancer.xlsx حسب Yao Yi (459571)

"…</p>Methods<p>The gene co-expression network and gene ontology analyses were used to identify the differential modules and their functions based on the GEO dataset of GSE76275. …"

Table 3_The analysis of gene co-expression network and immune infiltration revealed biomarkers between triple-negative and non-triple negative breast cancer.xlsx حسب Yao Yi (459571)

"…</p>Methods<p>The gene co-expression network and gene ontology analyses were used to identify the differential modules and their functions based on the GEO dataset of GSE76275. …"

Image 4_The analysis of gene co-expression network and immune infiltration revealed biomarkers between triple-negative and non-triple negative breast cancer.tif حسب Yao Yi (459571)

"…</p>Methods<p>The gene co-expression network and gene ontology analyses were used to identify the differential modules and their functions based on the GEO dataset of GSE76275. …"

<b>Road intersections Data with branch information extracted from OSM</b> & <b>C</b><b>odes to implement the extraction </b>&<b> I</b><b>nstructions on how to </b><b>reproduce each... حسب Zihao Tang (19794537)

"…While methods to identify road intersections using raster maps, satellite images, and trace data have been explored, challenges in accuracy and consistency remain.…"

HVTN 705 data repo: Unbiased cell clustering analysis of vaccine-induced T cell responses in the Imbokodo HIV-1 vaccine trial حسب Valentin Voillet (19201102)

"…Traditional methods for analysing these responses might be biased towards specific functionalities or epitopes. This study presents an unsupervised and unbiased clustering analysis workflow, using the Leiden algorithm followed by selection of antigen-specific clusters using MIMOSA positivity calls, for high-dimensional flow cytometry data to identify distinct T cell populations associated with protection in the HVTN 705/HPX2008/Imbokodo HIV-1 vaccine efficacy trial.…"

Table 2_Unraveling the role of histone acetylation in sepsis biomarker discovery.docx حسب Feng Cheng (124653)

"…Differential expression analysis and weighted gene co-expression network analysis (WGCNA) were performed, followed by machine learning algorithms (LASSO, SVM-RFE, and Boruta) to screen for potential biomarkers. …"

Table 3_Unraveling the role of histone acetylation in sepsis biomarker discovery.docx حسب Feng Cheng (124653)

"…Differential expression analysis and weighted gene co-expression network analysis (WGCNA) were performed, followed by machine learning algorithms (LASSO, SVM-RFE, and Boruta) to screen for potential biomarkers. …"

Table 1_Unraveling the role of histone acetylation in sepsis biomarker discovery.docx حسب Feng Cheng (124653)

"…Differential expression analysis and weighted gene co-expression network analysis (WGCNA) were performed, followed by machine learning algorithms (LASSO, SVM-RFE, and Boruta) to screen for potential biomarkers. …"

Image 2_Unraveling the role of histone acetylation in sepsis biomarker discovery.tif حسب Feng Cheng (124653)

"…Differential expression analysis and weighted gene co-expression network analysis (WGCNA) were performed, followed by machine learning algorithms (LASSO, SVM-RFE, and Boruta) to screen for potential biomarkers. …"

Table 4_Unraveling the role of histone acetylation in sepsis biomarker discovery.xlsx حسب Feng Cheng (124653)

"…Differential expression analysis and weighted gene co-expression network analysis (WGCNA) were performed, followed by machine learning algorithms (LASSO, SVM-RFE, and Boruta) to screen for potential biomarkers. …"

Image 1_Unraveling the role of histone acetylation in sepsis biomarker discovery.tif حسب Feng Cheng (124653)

"…Differential expression analysis and weighted gene co-expression network analysis (WGCNA) were performed, followed by machine learning algorithms (LASSO, SVM-RFE, and Boruta) to screen for potential biomarkers. …"

Table 5_Unraveling the role of histone acetylation in sepsis biomarker discovery.csv حسب Feng Cheng (124653)

"…Differential expression analysis and weighted gene co-expression network analysis (WGCNA) were performed, followed by machine learning algorithms (LASSO, SVM-RFE, and Boruta) to screen for potential biomarkers. …"

Table 1_In Vitro biomechanical study of meniscal properties in patients with severe knee osteoarthritis.xlsx حسب Yuqi Liu (501183)

"…Quantifying the biomechanical properties of the meniscus is essential for understanding its role in knee joint function and pathology.</p>Methods<p>This study aimed to determine the biomechanical properties of the meniscus in patients with severe KOA using experimental mechanical testing and an inverse finite element analysis (iFEA) model. …"