Results 41 to 50 of about 175,631 (262)
Ground meteorological observation data (GMOD) are the core of research on earth-related disciplines and an important reference for societal production and life.
Cong Li, Xupeng Ren, Guohui Zhao
doaj +1 more source
Matched spatial transcriptomics and single‐nuclei RNA‐seq were generated for anaplastic and BRAFV600E papillary thyroid cancers revealing generic and tumor‐specific states occurring in cancer cells and in the tumor microenvironment. In this context, cancer dedifferentiation mirrored organoid maturation through ordered thyroid marker gain/loss ...
Adrien Tourneur +11 more
wiley +1 more source
Missing Data Imputation with High-Dimensional Data
Imputation of missing data in high-dimensional datasets with more variables P than samples N, P≫N, is hampered by the data dimensionality. For multivariate imputation, the covariance matrix is ill conditioned and cannot be properly estimated. For fully conditional imputation, the regression models for imputation cannot include all the variables.
Alberto Brini, Edwin R. van den Heuvel
openaire +1 more source
ABSTRACT Background and Purpose White matter hyperintensities (WMH) are a core neuroimaging marker of cerebral small vessel disease (CSVD). Sleep apnoea (SA) is a recognized vascular risk factor, but its associations with regional WMH burden, short‐interval WMH change and cognitive performance in population‐based cohorts remain incompletely defined. We
Peng Cheng +4 more
wiley +1 more source
PERFORMANCE COMPARISON OF MISSFOREST AND MICE IN HANDLING MISSING CATEGORICAL DATA
Missing data represent a common challenge in statistical modeling and can substantially reduce the performance of classification algorithms. This study examines the impact of missing values on the performance of the XGBoost model by considering ...
Nurhidayah Nurhidayah +2 more
doaj +1 more source
Enhancing air quality forecasting through missing data imputation: a stacking-based approach applied to urban monitoring data [PDF]
In air pollution forecasting, handling missing data is a significant challenge and a crucial task. In this study, we aim to forecast air pollutants in Eskişehir, Türkiye, presenting a new stacking-based imputation method (S-UImpute) to address the ...
Zeynep Idil Erzurum Cicek +1 more
doaj +2 more sources
ABSTRACT Objective This study aimed to investigate the immunological response to influenza vaccination, the incidence and severity of influenza infection, and the side effects of the vaccination in patients with ischemic stroke. Methods This prospective observational study was conducted between 2023 and 2024 at Ramathibodi Hospital.
Achiraya Pakngao +5 more
wiley +1 more source
ABSTRACT Background Collaterals are crucial factors that influence the infarct growth rate (IGR). We aimed to determine whether a comprehensive multimodal collateral score (MCS), incorporating collateral assessment at the arterial, tissue, and venous levels, is associated with functional independence and provides incremental prognostic value over ...
Giorgio Busto +12 more
wiley +1 more source
Missing Value Imputation for RNA-Sequencing Data Using Statistical Models: A Comparative Study [PDF]
RNA-seq technology has been widely used as an alternative approach to traditional microarrays in transcript analysis. Sometimes gene expression by sequencing, which generates RNA-seq data set, may have missing read counts.
Taban Baghfalaki +2 more
doaj +1 more source
Comparative Effectiveness and Safety of Inebilizumab Versus Rituximab in AQP4‐IgG‐Positive NMOSD
ABSTRACT Objective Rituximab (anti‐CD20, RTX) and inebilizumab (anti‐CD19, INE) represent B‐cell‐depleting therapies used for aquaporin‐4 antibody‐positive (AQP4‐IgG+) neuromyelitis optica spectrum disorder (NMOSD); however, direct comparative evidence remains limited.
Jie Lin +11 more
wiley +1 more source

