Your English writing platform
Discover LudwigSuggestions(1)
Exact(1)
Positive values mean positive correlation; negative values mean negative correlation, as evaluated by Pearson's correlation test.
Similar(59)
HR>1.0 means positive correlation with risk.
The 12 pairs of symmetrical lines have 12 correlation numbers C i, Positive values of C i mean positively correlated AT and CG skews, negative values mean negative correlation.
Notice that correlation coefficients vary in the range of [-1,1] and a negative coefficient indicates a negative correlation while positive coefficient means a positive correlation.
If two sets of data are strongly linked together (high correlation) correlation has a value (−1 to 1), '1' means a perfect positive correlation, '0' means no correlation, and '−1' is a perfect negative correlation.
In the mean time, positive correlation can not be found between accumulation of the mutations and the thermal stabilities of the variants by Mfold analysis [55, data not shown].
As a result, the coefficient of TFs and TFBSs was 0.122 (p = 0.023 < 0.05, one side test), which meant there was positive correlation between transcription factors and their DNA targets to some degree.
The k-means algorithm used positive correlation as distance metric.
Positive correlation means assortative, negative disassortative, and zero no preference.
It means a very close positive correlation between concentration of SWCNTs and volume of MTS.
Positive correlation means that if one activity (or repetition of an activity) takes longer than expected then the correlated activities (or repetitions of that activity) are also more likely to also take longer, and vice versa.
Write better and faster with AI suggestions while staying true to your unique style.
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