Image 2_Comprehensive integration of diagnostic biomarker analysis and immune cell infiltration features in sepsis via machine learning and bioinformatics techniques.tif حسب Liuqing Yang (128705)

"…Astragalus, Salvia, and Safflower are the primary elements of Xuebijing, commonly used in the clinical treatment of sepsis. …"

Data Sheet 1_Comprehensive integration of diagnostic biomarker analysis and immune cell infiltration features in sepsis via machine learning and bioinformatics techniques.zip حسب Liuqing Yang (128705)

"…Astragalus, Salvia, and Safflower are the primary elements of Xuebijing, commonly used in the clinical treatment of sepsis. …"

Table 1_Comprehensive integration of diagnostic biomarker analysis and immune cell infiltration features in sepsis via machine learning and bioinformatics techniques.docx حسب Liuqing Yang (128705)

"…Astragalus, Salvia, and Safflower are the primary elements of Xuebijing, commonly used in the clinical treatment of sepsis. …"

Image 5_Comprehensive integration of diagnostic biomarker analysis and immune cell infiltration features in sepsis via machine learning and bioinformatics techniques.tif حسب Liuqing Yang (128705)

"…Astragalus, Salvia, and Safflower are the primary elements of Xuebijing, commonly used in the clinical treatment of sepsis. …"

Table 1_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.xlsx حسب Hope A. Townsend (12283067)

"…First, we applied and compared the results of three recent algorithms, based on pathways (scGWAS), single-cell disease scores (scDRS), or both (scPagwas), according to accuracy/sensitivity and interpretability. …"

Table 2_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.xlsx حسب Hope A. Townsend (12283067)

"…First, we applied and compared the results of three recent algorithms, based on pathways (scGWAS), single-cell disease scores (scDRS), or both (scPagwas), according to accuracy/sensitivity and interpretability. …"

Table 9_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.xlsx حسب Hope A. Townsend (12283067)

"…First, we applied and compared the results of three recent algorithms, based on pathways (scGWAS), single-cell disease scores (scDRS), or both (scPagwas), according to accuracy/sensitivity and interpretability. …"

Table 5_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.xlsx حسب Hope A. Townsend (12283067)

"…First, we applied and compared the results of three recent algorithms, based on pathways (scGWAS), single-cell disease scores (scDRS), or both (scPagwas), according to accuracy/sensitivity and interpretability. …"

Table 7_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.xlsx حسب Hope A. Townsend (12283067)

"…First, we applied and compared the results of three recent algorithms, based on pathways (scGWAS), single-cell disease scores (scDRS), or both (scPagwas), according to accuracy/sensitivity and interpretability. …"

Table 6_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.xlsx حسب Hope A. Townsend (12283067)

"…First, we applied and compared the results of three recent algorithms, based on pathways (scGWAS), single-cell disease scores (scDRS), or both (scPagwas), according to accuracy/sensitivity and interpretability. …"

Table 10_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.xlsx حسب Hope A. Townsend (12283067)

"…First, we applied and compared the results of three recent algorithms, based on pathways (scGWAS), single-cell disease scores (scDRS), or both (scPagwas), according to accuracy/sensitivity and interpretability. …"

Table 3_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.xlsx حسب Hope A. Townsend (12283067)

"…First, we applied and compared the results of three recent algorithms, based on pathways (scGWAS), single-cell disease scores (scDRS), or both (scPagwas), according to accuracy/sensitivity and interpretability. …"

Table 4_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.xlsx حسب Hope A. Townsend (12283067)

"…First, we applied and compared the results of three recent algorithms, based on pathways (scGWAS), single-cell disease scores (scDRS), or both (scPagwas), according to accuracy/sensitivity and interpretability. …"

Table 11_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.xlsx حسب Hope A. Townsend (12283067)

"…First, we applied and compared the results of three recent algorithms, based on pathways (scGWAS), single-cell disease scores (scDRS), or both (scPagwas), according to accuracy/sensitivity and interpretability. …"

Table 8_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.xlsx حسب Hope A. Townsend (12283067)

"…First, we applied and compared the results of three recent algorithms, based on pathways (scGWAS), single-cell disease scores (scDRS), or both (scPagwas), according to accuracy/sensitivity and interpretability. …"

Data Sheet 1_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.docx حسب Hope A. Townsend (12283067)

"…First, we applied and compared the results of three recent algorithms, based on pathways (scGWAS), single-cell disease scores (scDRS), or both (scPagwas), according to accuracy/sensitivity and interpretability. …"

Data Sheet 1_Beyond the current state of just-in-time adaptive interventions in mental health: a qualitative systematic review.pdf حسب Claire R. van Genugten (20626733)

"…To accomplish this, JITAIs often apply complex analytic techniques, such as machine learning or Bayesian algorithms to real- or near-time data acquired from smartphones and other sensors. …"

<b>AI for imaging plant stress in invasive species </b>(dataset from the article https://doi.org/10.1093/aob/mcaf043) حسب Erola Fenollosa (20977421)

"…Machine learning regression algorithms were trained to predict betalain accumulation from digital images, outperforming classic spectroradiometer measurements. …"

Machine Learning-Ready Dataset for Cytotoxicity Prediction of Metal Oxide Nanoparticles حسب Soham Savarkar (21811825)

"…Core Material Properties:</b></p><p dir="ltr">Four elemental-level descriptors were added to enrich prediction with periodic trends:</p><p dir="ltr">Atomic weight, group number, period number, and electronegativity difference of elements in the nanoparticle core.…"