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Data were log2 transformed to approach a normal distribution prior to ANOVA or t-test, and genes were considered to be differentially expressed if P < 0.05, and if the expression changed ≥2-fold over the course of infection.
Of the significantly up-regulated probe-sets, 141 showed the expression changed at least 2-fold and 20 at least 3-fold.
The highest odds ratios were found for ER, PgR and bcl-2, with a more than 10 times higher chance of a pCR when the expression changed from favourable to unfavourable (Table 3).
This was assessed by evaluating the estimating function 3 at values of β1 from −50 to 50 at intervals of size between 0.1 and 1 and counting the number of times the sign of the expression changed.
To investigate how the expression changed following treatment with antiandrogens, PRDX-3 expression was studied in a number of prostate cell lines including the antiandrogen-resistant cells (LNCaP-BIC and LNCaP-OHF) and LNCaP-BIC-R1881 LNCaP-BIC-R1881 LNCaP-BIC-R1881red with the andiandrogens LNCaP-OHF-R1881 LNCaP-OHF-R1881 LNCaP-OHF-R1881al, 2006; Vias et al, 2006).
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The expression changes observed in the previous work were more dynamic in shoots than in roots.
The expression changes observed after RAD21 depletion mirroring knockdown of Nanog further support this notion.
The expression changes of OsPTRs were determined after the inoculation.
Real-time quantitative PCR validated the expression changes of 12 selected genes.
MapMan software was used to visualize the expression change levels of individual genes in diagrams of metabolic pathways.
For analysis of the expression changes in roots, a much shorter time span seemed to be suitable.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com