Search alternatives:
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
data algorithm » data algorithms (Expand Search), update algorithm (Expand Search), atlas algorithm (Expand Search)
element data » settlement data (Expand Search), relevant data (Expand Search), movement data (Expand Search)
spatial data » geospatial data (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
data algorithm » data algorithms (Expand Search), update algorithm (Expand Search), atlas algorithm (Expand Search)
element data » settlement data (Expand Search), relevant data (Expand Search), movement data (Expand Search)
spatial data » geospatial data (Expand Search)
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201
Predictive performance evaluation on real heart data with selected cell types.
Published 2025Subjects: -
202
Data sources.
Published 2024“…Efficient and cost-effective methods for obtaining noise distribution data are of great interest. This study introduces various machine learning methods and applies the Random Forest algorithm, which performed best, to investigate noise suitability in the central urban area of Nanchang City. …”
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203
S1 Data -
Published 2024“…Efficient and cost-effective methods for obtaining noise distribution data are of great interest. This study introduces various machine learning methods and applies the Random Forest algorithm, which performed best, to investigate noise suitability in the central urban area of Nanchang City. …”
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Quadratic velocity elements.
Published 2025“…To enhance the precision of the proposed UB finite element method using a reduced element count, this study implements a mesh adaptation algorithm grounded in plastic dissipation. …”
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206
Quadratic velocity elements.
Published 2025“…To enhance the precision of the proposed UB finite element method using a reduced element count, this study implements a mesh adaptation algorithm grounded in plastic dissipation. …”
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207
Spatial characterization and cell-type-specific genes in mouse brain tissue.
Published 2025Subjects: -
208
Spatial transcriptomics (ST) and single-cell atlases of multiple human tissues.
Published 2025Subjects: -
209
Evaluation of spatial transcriptomics (ST) tools across various metrics and conditions.
Published 2025Subjects: -
210
Assessment of multiple parameters for Cell2Spatial performance and assignment strategy.
Published 2025Subjects: -
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Clustering Spatial Data with a Mixture of Skewed Regression Models
Published 2025“…<p>A single regression model is unlikely to hold throughout a large and complex spatial domain. A finite mixture of regression models can address this issue by clustering the data and assigning a regression model to explain each homogenous group. …”
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214
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215
Cell2Spatial enables versatile applications across various analytical domains.
Published 2025Subjects: -
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