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Discover LudwigThe phrase "a significance method for" is not correct in English.
Did you mean "a significant method for"? You can use the corrected phrase when discussing a method that has importance or relevance in a particular context or field.
Example: "This research presents a significant method for improving data analysis in large datasets."
Alternatives: "an important method for" or "a valuable method for".
Exact(1)
Temporally regulated genes in the quadriceps of Tg(HQK) and KO, in comparison to WT, were identified using EDGE (extraction and analysis of differential gene expression), a significance method for analyzing time course microarray data [ 27, 28].
Similar(59)
Our tool uses the Winnow algorithm for network construction and establishes significance via the algorithmic significance method, eliminating the need for costly permutation testing.
The adjusted significance (Bonferroni method) for twice measured haemodynamic and oxygen transport parameters was P/2 = 0.025; the adjusted significance for the thrice measured parameters was P/3 = 0.017.
Covariates for inclusion were selected by the backward stepwise method with a significance criterion for removal from the model of P > 0.25.
The polynomial equation that gave the best prediction was assessed using a stepwise method (with a significance level for entry value and for a stay value in the model equal to 0.10).
Comparison with SAM [ 16], a popular method for significance analysis of microarrays, is also provided in this paper.
Traditional scanning methods output a significance value for each position in a promoter.
To determine the number of statistically significant differentially expressed genes for hierarchical clustering, we performed SAMseq, a nonparametric method for estimating significance in RNA-seq data (Li and Tibshirani, 2011) and discovered 3690 significant transcripts with FDR < 0.05.
To resolve the first of these challenges, we have developed a method for significance clustering based on the parametric bootstrap.
Hence, we performed SAMseq, a nonparametric method for estimating significance in RNA-seq data (Li and Tibshirani 2011) and discovered 3690 significant transcripts with FDR < 0.05.
For each dataset, a liberal threshold was applied to define statistical significance (see Methods for details); if a gene reached statistical significance in any of the comparisons in a dataset, it was deemed significant in the dataset.
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