Table_5_High-Order Correlation Integration for Single-Cell or Bulk RNA-seq Data Analysis.XLSX حسب Hui Tang (226667)

"…Reducing noise pollution to data and ensuring the extracted intrinsic patterns in concordance with the primary data structure are important in sample clustering and classification. …"

DataSheet1_Development and validation of a prognostic prediction model for iron metabolism-related genes in patients with pancreatic adenocarcinoma.ZIP حسب Wenhan Wei (14325063)

Data Sheet 1_Predicting patient reported outcome measures: a scoping review for the artificial intelligence-guided patient preference predictor.docx حسب Jeremy A. Balch (13228956)

Data Sheet 1_Assessment of stress hyperglycemia ratio to predict mortality in critically ill patients with sepsis: a retrospective cohort study from the MIMIC-IV database.docx حسب Dong Xia (54339)

Video 1_TDE-3: an improved prior for optical flow computation in spiking neural networks.mp4 حسب Matthew Yedutenko (5142461)

"…<p>Motion detection is a primary task required for robotic systems to perceive and navigate in their environment. …"

Image 5_Single-cell and machine learning-based pyroptosis-related gene signature predicts prognosis and immunotherapy response in glioblastoma.tif حسب Liren Fang (22489516)

"…Background<p>Glioblastoma (GBM) is the most aggressive primary malignancy of the central nervous system, characterized by profound heterogeneity and an immunosuppressive microenvironment, leading to dismal prognosis. …"

Image 3_Single-cell and machine learning-based pyroptosis-related gene signature predicts prognosis and immunotherapy response in glioblastoma.tif حسب Liren Fang (22489516)

"…Background<p>Glioblastoma (GBM) is the most aggressive primary malignancy of the central nervous system, characterized by profound heterogeneity and an immunosuppressive microenvironment, leading to dismal prognosis. …"

Table 2_Single-cell and machine learning-based pyroptosis-related gene signature predicts prognosis and immunotherapy response in glioblastoma.xlsx حسب Liren Fang (22489516)

"…Background<p>Glioblastoma (GBM) is the most aggressive primary malignancy of the central nervous system, characterized by profound heterogeneity and an immunosuppressive microenvironment, leading to dismal prognosis. …"

Image 1_Single-cell and machine learning-based pyroptosis-related gene signature predicts prognosis and immunotherapy response in glioblastoma.tif حسب Liren Fang (22489516)

"…Background<p>Glioblastoma (GBM) is the most aggressive primary malignancy of the central nervous system, characterized by profound heterogeneity and an immunosuppressive microenvironment, leading to dismal prognosis. …"

Image 4_Single-cell and machine learning-based pyroptosis-related gene signature predicts prognosis and immunotherapy response in glioblastoma.tif حسب Liren Fang (22489516)

"…Background<p>Glioblastoma (GBM) is the most aggressive primary malignancy of the central nervous system, characterized by profound heterogeneity and an immunosuppressive microenvironment, leading to dismal prognosis. …"

Table 1_Single-cell and machine learning-based pyroptosis-related gene signature predicts prognosis and immunotherapy response in glioblastoma.xlsx حسب Liren Fang (22489516)

"…Background<p>Glioblastoma (GBM) is the most aggressive primary malignancy of the central nervous system, characterized by profound heterogeneity and an immunosuppressive microenvironment, leading to dismal prognosis. …"

Image 2_Single-cell and machine learning-based pyroptosis-related gene signature predicts prognosis and immunotherapy response in glioblastoma.tif حسب Liren Fang (22489516)

"…Background<p>Glioblastoma (GBM) is the most aggressive primary malignancy of the central nervous system, characterized by profound heterogeneity and an immunosuppressive microenvironment, leading to dismal prognosis. …"

Reimagining the Kendall plot: using <i>δ</i>¹⁵N and <i>δ</i>¹⁸O of nitrate and advanced machine learning to improve N pollutant source classification حسب Katarzyna Samborska-Goik (20926968)

"…The stable isotope ratios of nitrate (<i>δ</i>¹⁵N, <i>δ</i>¹⁸O) are widely used as tracers of nitrogen pollution sources. The primary technique for identifying nitrate sources has been the longstanding Kendall boxplot, despite improved methods using Bayes’ theorem and the R language for estimating source fractions using hydrogeochemical context, N source data and expert assessment. …"

Supplementary file 1_Healthcare deprivation matters: a novel framework to unveil the influencing mechanisms of aging anxiety and healthcare utilization.docx حسب Zhiyi Luo (22424863)

"…The random forest algorithm is used to estimate the marginal effect of aging anxiety on healthcare utilization. …"