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Then we measure significance of CC between two genes using hypergeometric probability.
Then, we computed similarity between two genes using Gauss kernel with γ = 2.
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Note that the distance between two genes used in this article is the difference their ranks on the chromosome (approximately equivalent to the number of kb).
This construction includes estimating the direction of the arrow between the two genes using a likelihood ratio test.
The observed separation was confirmed by a two-class SAM test that identified over 3,900 differentially expressed genes and a class prediction approach that was able to discriminate between the two groups using just two genes, using as a training set positive and negative controls and as test set all unknown samples.
Next, we investigated the correlation between the highly expressed promoters of the three genes using Spearman's rank test and Pearson's correlation coefficients.
In the context of synthetic lethal interaction data alone, the global similarity of synthetic lethal interaction patterns between two genes is used to predict gene function.
FatiGO detects over-represented functional categories of Gene Ontology (GO), KEGG pathway, InterPro motif and Swissprot in either group between two gene lists using Fisher's exact test.
We used Tajima's relative rate test [ 45], as implemented in MEGA3.1, to test for rate variation between two TFIIAγ genes using Ananas comosus as outgroup.
Here we calculate the log ratio of expression between two paralogous genes using: The distribution of log ratios among the paralogs was visually inspected for deviation from normality in both RPKM and UQ data sets.
Sequence identity between two genes was determined using the bl2seq tool [ 58].
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