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Figure 4 presents the graphic distribution of biological ontologies that are associated with the distribution of ∼300 upregulated and ∼100 down regulated genes that are expressed in the fracture callus tissue.
The graphic distribution of the original and the logarithmical (natural logarithm LN) LOS data clearly indicates that there is a significant deviation from the normal distribution.
A. Graphic distribution of ChIP-seq reads aligned to the RCC1 and SNHG3 genes from the input, FUS, EWS and Ac-H3K9 ChIP-seq samples.
(PDF 552 kb) Additional file 13: FUS and EWS regulate RNA processing in the 3'-end of HNRNPK. A. Graphic distribution of ChIP-seq reads aligned to HNRNPK.
Because the Shapiro-Wilk test may be statistically significant from a normal distribution in large samples [ 28], graphic distribution was required for verification.
A. Graphic distribution of ChIP-seq reads aligned to the ACPT and C19orf48 genes from the input, FUS, EWS and Ac-H3K9 ChIP-seq samples.
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Here we assume that evolutionary time intervals or substitution rates for each substitution matrix are distributed in a
The use of
Here we simply assume that all alternative hypotheses in the strong-clue set are independent and under the identical
It is assumed that substitution rates are distributed with a
Zhang et al [47] also suggested the use of
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com