Table 4_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.xlsx by 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 by 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 by 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 by 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 by 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) by 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 by 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.…”