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We used a hypergeometric test to identify gene sets from the MSigDB [19] that are over-represented in the molecular paths detected by the EMPath method.
We used a hypergeometric test to compare each class to the reference background of genes.
We used a hypergeometric test and the Benjamini and Hochberg False Discovery rate (FDR) correction with 0.05 level of significance.
We used a hypergeometric test to determine the probability that the observed distribution of such regions among genes of interest was different to the distribution among all genes.
We used a hypergeometric test to compare the overlap found in the background and DMR/VMR list to determine the significance of DNase I hypersensitivity enrichment.
For enrichment we used a hypergeometric test and multiple testing corrections based on Q-values to keep the results comparable between the different databases.
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DEGs upregulated in FOS+ DG neurons were assessed for functional enrichment through DAVID bioinformatics using a hypergeometric test.
Both analyses use a hypergeometric test for a p-value computation.
The statistical significances for the interactor overlap among disease pairs were calculated using a hypergeometric test.
Gene ontology analysis was carried out using publicly available on-line statistical package (FUNC, http://func.eva.mpg.de/) using a hypergeometric test.
GO analysis on differentially expressed genes was performed using a hypergeometric test, and corrected for multiple testing using the Benjamini-Hochberg FDR method.
More suggestions(15)
used a χ2 test
used a statistical test
used a hypergeometric sampling
used a computerized test
used a Mantel test
used a χ test
used a hypergeometric distribution
used a Binomial test
used a diagnostic test
used a Brant test
used a negative test
used a hypergeometric score
used a simple test
used a 'homogeneity test
used a cylindrical test
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