Results 141 to 150 of about 6,008 (306)
Enhanced log ratio calibration methods for stratified variance estimation in survey sampling. [PDF]
Zaka A +6 more
europepmc +1 more source
This work introduces a beamforming‐based method to generate acoustic images from fiber‐optic distributed acoustic sensing (DAS) data. By performing 2D scanning around the sensing fiber, the approach enables near‐field imaging and localization of acoustic sources, even in regions distant from the fiber. A data‐driven DAS channel selection improves image
Marcelo A. Soto +1 more
wiley +1 more source
Prediction-powered inference for clinical trials: application to linear covariate adjustment. [PDF]
Poulet PE +6 more
europepmc +1 more source
Integrating hierarchical physicochemical features via a bio‐inspired design, the DAISY framework robustly predicts T‐cell receptor binding, significantly outperforming state‐of‐the‐art models on unseen epitopes. It uniquely offers visual interpretability via Score‐CAM visualizations and profound clinical relevance, correlating with T‐cell expansion ...
Yajing Yuan +9 more
wiley +1 more source
Enhancing precision in breast cancer diagnosis using Tailored Ratio-Integrated Variance Estimation using Neyman allocation Implementation(TRIVENI). [PDF]
Triveni GRV, Danish F, Reddy VRK.
europepmc +1 more source
This study utilizes a whole‐body inhalation model to reveal that interior decorative VOCs exposure persistently elevates alveolar T cells. This increase is attributed to lymphoid‐biased hematopoiesis in the bone marrow, which is further driven by IL‐6/IL‐17A‐mediated osteogenic differentiation.
Hongyan Yu +11 more
wiley +1 more source
Understanding Peelle's Pertinent Puzzle bias in generalized least squares regression through eigenspectrum analysis. [PDF]
Walton NAW +5 more
europepmc +1 more source
SpaBalance: Balanced Learning for Efficient Spatial Multi‐Omics Decoding
SpaBalance is a computational framework that harmonizes multi‐omics learning via gradient equilibrium and dual‐stream feature decomposition, achieving superior clustering accuracy, biological interpretability, and scalable integration of three or more spatial omics modalities.
Yingbo Cui +8 more
wiley +1 more source
Control chart for geometrically distributed data based on Bayesian fast double bootstrap. [PDF]
Matdoan MY, Mashuri M, Ahsan M.
europepmc +1 more source
CELLama is created, a framework that harnesses language models to convert cellular data into “sentences” that represent gene expression and metadata, enabling a universal embedding of cells. Unlike most single‐cell foundation models, CELLama supports scalable analysis and offers flexible applications including spatial transcriptomics.
Jeongbin Park +7 more
wiley +1 more source

