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Thus, genes that exhibited a FDR < 0.05 and passed the minimum signal and fold change thresholds were determined to be differentially expressed.
Genes that exhibited a false discovery rate of p < 0.05 and passed the minimum signal and fold-change threshold were determined to be differentially expressed.
Genes that were differentially expressed (DE) among genotypes were identified within each inbred-hybrid group, based on an ANOVA FDR < 0.05 (and minimum signal and fold-change filters; see Methods).
For this analysis, the DE genes from the stringent Affymetrix analysis (FDR < 0.05, and minimum signal and fold-change filters; see Methods) were combined from the six inbred-hybrid groups.
The Z'-factor was calculated as follows: Z'-factor = 1 − 3 × (sp + sn)/¦mp − mn¦, where m: mean fluorescence intensity and s: standard deviation; n: negative control (sh-Trf1 or eGFP-Trf1+/KI heterozygous, minimum signal) and p: positive control (homozygous eGFP-Trf1KI/KI, maximum signal).
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However, our Monte Carlo simulations in Section 4 show that, for realistic cases (Rician noise on S(g i ) and anisotropic tensors), the proposed GES yields the minimum signal deviation and the minimum rotational variance.
However, with increasing probing wavelength the minimum signal decreases and eventually a positive contribution to the absorption changes becomes dominant.
However, with decreasing photon energy the minimum signal decreases and eventually a positive contribution to the absorption change becomes apparent.
To do so, we needed to define a minimum signal level and also when two adjacent positive probes could be considered part of the same binding region.
To each gene, maximum and minimum signal values were selected, and then divided between them.
where Λ→ wavelength = (speedoflight/carrierfrequency), p Max → maximum transmission power possible, α → minimum path loss coefficient, sat → minimum signal attenuation threshold and minRecvPow → minimum power level to be able to physically receive a signal.
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