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greater decrease » greater increase (Expand Search), greater increases (Expand Search), rate decreased (Expand Search)
significant use » significant cause (Expand Search), significant i.e (Expand Search), significantly used (Expand Search)
genes decrease » sizes decrease (Expand Search), teer decrease (Expand Search), greatest decrease (Expand Search)
use based » rule based (Expand Search), case based (Expand Search), one based (Expand Search)
greater decrease » greater increase (Expand Search), greater increases (Expand Search), rate decreased (Expand Search)
significant use » significant cause (Expand Search), significant i.e (Expand Search), significantly used (Expand Search)
genes decrease » sizes decrease (Expand Search), teer decrease (Expand Search), greatest decrease (Expand Search)
use based » rule based (Expand Search), case based (Expand Search), one based (Expand Search)
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Tests for significant covariation need to not use covariation in producing their alignments.
Published 2023Subjects: -
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The correlation between histone acetylation level and the expression of SIRT1 gene.
Published 2023Subjects: -
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Correlations of SIRT 1 gene expression and histone acetylation with other variables.
Published 2023Subjects: -
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a, Anti-correlation of gene expression between <i>dmdR1</i> and its predicted regulon. Left: Pearson correlation coefficients (PCCs) between <i>dmdR1</i> and all genes with a DmdR1 position weight matrix (PWM) score greater than 15 in their regulatory region. The vertical dashed line marks the refined PWM score threshold of 22.875. The horizontal dotted lines mark PCC = ±0.43, corresponding to an adjusted <i>p</i>-value of 0.05. Right: Target genes immediately downstream of a predicted DmdR1 binding site, ordered by decreasing PWM score. Plus and minus indicate the strand of the target gene. Genes marked with an × did not have significant co-expression with <i>dmdR1</i>....
Published 2025“…Plus and minus indicate the strand of the target gene. Genes marked with an × did not have significant co-expression with <i>dmdR1</i>. …”
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88
Table 1_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx
Published 2025“…These results were not detectable by standard 16S analysis based on relative abundances. Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”
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89
Table 3_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx
Published 2025“…These results were not detectable by standard 16S analysis based on relative abundances. Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”
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90
Table 4_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx
Published 2025“…These results were not detectable by standard 16S analysis based on relative abundances. Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”
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91
Table 8_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx
Published 2025“…These results were not detectable by standard 16S analysis based on relative abundances. Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”
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92
Table 2_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx
Published 2025“…These results were not detectable by standard 16S analysis based on relative abundances. Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”
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93
Table 6_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx
Published 2025“…These results were not detectable by standard 16S analysis based on relative abundances. Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”
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94
Table 5_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx
Published 2025“…These results were not detectable by standard 16S analysis based on relative abundances. Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”
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95
Table 7_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx
Published 2025“…These results were not detectable by standard 16S analysis based on relative abundances. Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”
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96
Table 9_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx
Published 2025“…These results were not detectable by standard 16S analysis based on relative abundances. Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”
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97
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98
Image 3_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.tif
Published 2025“…These results were not detectable by standard 16S analysis based on relative abundances. Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”
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99
Image 1_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.tif
Published 2025“…These results were not detectable by standard 16S analysis based on relative abundances. Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”
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100
Image 2_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.tif
Published 2025“…These results were not detectable by standard 16S analysis based on relative abundances. Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”