Search alternatives:
marked decrease » marked increase (Expand Search)
large decrease » larger decrease (Expand Search), large increases (Expand Search), large degree (Expand Search)
nn decrease » _ decrease (Expand Search), a decrease (Expand Search), gy decreased (Expand Search)
a marked » _ marked (Expand Search), a marker (Expand Search), a market (Expand Search)
a large » _ large (Expand Search)
marked decrease » marked increase (Expand Search)
large decrease » larger decrease (Expand Search), large increases (Expand Search), large degree (Expand Search)
nn decrease » _ decrease (Expand Search), a decrease (Expand Search), gy decreased (Expand Search)
a marked » _ marked (Expand Search), a marker (Expand Search), a market (Expand Search)
a large » _ large (Expand Search)
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K-means++ clustering algorithm.
Published 2025“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”
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Changes in the active H3K27ac and repressive H3K27me3 histone marks among Vasa2+/Piwi1+ and all cells in fed, starved, and refed juvenile polyps.
Published 2025“…<p><b>(A–L′)</b> Projections of confocal imaging stacks of cell clumps dissociated from juvenile polyps and immunolabeled against H3K27ac (A–F′) and H3K27me3 epitopes (G–L′). …”
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K-means results.
Published 2025“…<div><p>This study aims to investigate the dynamics of basketball game pace and its influence on game outcomes through a novel intra-game segmentation approach. By employing K-means clustering on possession duration, we categorized possessions from 1,141 NBA games in the 2019–2020 season into high-frequency (HFS), low-frequency (LFS), and normal-frequency segments (NFS). …”
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