Search alternatives:
teer decrease » mean decrease (Expand Search), greater decrease (Expand Search)
we decrease » _ decrease (Expand Search), mean decrease (Expand Search), use decreased (Expand Search)
nn decrease » _ decrease (Expand Search), mean decrease (Expand Search), gy decreased (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
teer decrease » mean decrease (Expand Search), greater decrease (Expand Search)
we decrease » _ decrease (Expand Search), mean decrease (Expand Search), use decreased (Expand Search)
nn decrease » _ decrease (Expand Search), mean decrease (Expand Search), gy decreased (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
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RNAi of electron transport chain components in glutamate neurons decreases nighttime activity in 10 day old flies.
Published 2023“…(A) Average activity over 24 hours in a LD cycle saw a decrease of 32% (p = 0.029) and 39% (p = 0.005) in RNAi targeting <i>CG9172</i> and <i>CG5389</i>. …”
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shRNA knockdown of ADAM10 decreases constitutive, PMA-mediated and ionomycin-mediated CAR ECD shedding.
Published 2013“…Anti-GAPDH antibody was used as a loading control. Quantification of mean ADAM10 band intensities normalized over GAPDH revealed a decrease of approximately 60% with anti-ADAM10 shRNA compared to control shRNA. …”
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Schematic representation of the molecular mechanism by which iRF decreases the aggressiveness of B16F10 cells.
Published 2013“…Furthermore, the expression of a physiological inhibitor of MMPs, TIMP-1, was augmented by iRF. …”
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Top 10 important features according to the average decrease in Gini index over the 18 training models (features with a higher decrease tend to better split mixed nodes into single class nodes) and correlation coefficients of features with lesion volume.
Published 2018“…<p>Top 10 important features according to the average decrease in Gini index over the 18 training models (features with a higher decrease tend to better split mixed nodes into single class nodes) and correlation coefficients of features with lesion volume.…”