Search alternatives:
significant classes » significant clusters (Expand Search), significant changes (Expand Search), significant cause (Expand Search)
significant effects » significant effect (Expand Search), significantly affected (Expand Search)
classes based » cases based (Expand Search), clusters based (Expand Search), classified based (Expand Search)
decrease » decreased (Expand Search), increase (Expand Search)
significant classes » significant clusters (Expand Search), significant changes (Expand Search), significant cause (Expand Search)
significant effects » significant effect (Expand Search), significantly affected (Expand Search)
classes based » cases based (Expand Search), clusters based (Expand Search), classified based (Expand Search)
decrease » decreased (Expand Search), increase (Expand Search)
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Factor analysis based on data provided by males in indoor online class soundscape evaluations.
Published 2024Subjects: -
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Factor analysis based on data provided by females in indoor online class soundscape evaluations.
Published 2024Subjects: -
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Factor analysis based on all data obtained from indoor online class soundscape evaluations.
Published 2024Subjects: -
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Most significant annotation class for benchmark vs. other genes.
Published 2020“…<p>Most significant single-annotation test (x-axis) for genes with one or more gene-based p-value ≤ 5e-6. …”
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Summary of the effect of MPDD on SDLP across all participants, and also participants categorized by driving styles (“NS” (no significant), “+” (significant increase), and “-” (significant decrease)).
Published 2025“…<p>Summary of the effect of MPDD on SDLP across all participants, and also participants categorized by driving styles (“NS” (no significant), “+” (significant increase), and “-” (significant decrease)).…”
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Summary of the effect of MPDD on ART and TIBL across all participants, and also participants categorized by driving styles (“NS” (no significant), “+” (significant increase), and “-” (significant decrease).
Published 2025“…<p>Summary of the effect of MPDD on ART and TIBL across all participants, and also participants categorized by driving styles (“NS” (no significant), “+” (significant increase), and “-” (significant decrease).…”
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