Suggestions(1)
Exact(24)
The results indicated no significant association between TNBC subtypes and IBC status at tumor stage III or above, no matter which set of gene signatures was applied (P = 0.47, P = 0.77, respectively; data not shown).
The effect was statistically significant at a relatively liberal threshold of P < 0.001 (uncorrected), but not when FWE correction was applied (P = 0.12, FWE-corrected).
Both effects survived at a relatively liberal threshold of P < 0.001 (uncorrected), but not when FWE correction was applied (P > 0.05, using a bilateral MTL mask including the hippocampus and parahippocampal cortex).
This was statistically significant at conventional levels (P <0.05), but not after an experiment-wise Bonferroni correction was applied (P >0.0025).
Since no inhibition was applied (p = 0 %), HDC cell exclusion was accomplished by using 3×3 cells median filters applied to the final images.
Control 6 2.262 (0.21) LLLT 100 mW 6 2.622 (0.19) 8.829 (4) 0.000 LIPUS 6 2.840 (0.21) LLLT 100 mW + LIPUS 6 3.285 (0.23) IqR interquartile range aKruskal-Wallis test was applied bMann-Whitney test with Bonferroni correction for individual pair was applied, P < 0.001 Fig. 6 Effect of LLLT, LIPUS, and combination on gene expression of rat's maxilla at days 1, 3, 7, 14, and 21.
Similar(36)
A Benjamini-Hochberg correction was applied (p-value<0.01).
In addition, for SNPs not selected under the log-additive model, but with a suggestion of association in either dominant or recessive models, a more stringent threshold was applied (P-value ⩽0.03) for inclusion in the replication (statistical methods described below).
(In our case, given the text of a review, we are trying to predict the number of stars that review gave). In order to calculate this posterior probability, Baye's Rule is applied: P(Y|X) = [P(X|Y P(Y)] / P X).
Therefore, if a received data block contains P codewords, the HNN will have to be applied P times in order to determine P ML codewords.
where P u BM is the benchmark transmit power, and P u ULIP the power when ULIP is applied P u ULIP = α P u BM, 0 ≤ α ≤ 1.
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