Frontiers

Identification and analysis of diagnostic senescence-related gene signatures for acute myocardial infarction based on multi-omics data and machine learning

Acute myocardial infarction (AMI) incidence increases with population aging, alongside heightened cellular senescence; however, clinically useful senescence-related genes (SRGs) for AMI remain poorly ...
C&EN

Using Time Dependent Rate Analysis to Evaluate the Quality of Machine Learned Reaction Coordinates for Biasing and Computing Kinetics

Center for Computational Mathematics, Flatiron Institute, New York, New York 10010, United States Center for Computational Biology, Flatiron Institute, New York, New York 10010, United States ...
eLife

Interpreting prediction intervals and distributions for decoding biological generality in meta-analyses

Evolution & Ecology Research Centre and School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, Australia Division of Ecology and Evolution, Research School of ...
C&EN

Identification of Breast Cancer Subtypes by Integrating Genomic Analysis with the Immune Microenvironment

School of Medical Informatics Engineering, Anhui University of Chinese Medicine, Hefei 230012, China Anhui Computer Application Research Institute of Chinese Medicine, China Academy of Chinese Medical ...
Frontiers

Sparse Gaussian Process Regression for Landslide Displacement Time-Series Forecasting

Landslide hazards are complex nonlinear systems with a highly dynamic nature. Accurate forecasting of landslide displacement and evolution is crucial for the prevention and mitigation of landslide ...
Europe PMC

Empirical evaluation of SUCRA-based treatment ranks in network meta-analysis: quantifying robustness using Cohen's kappa.

To provide a framework for quantifying the robustness of treatment ranks based on Surface Under the Cumulative RAnking curve (SUCRA) in network meta-analysis (NMA) and investigating potential factors ...