Sentence examples for a strength of expression from inspiring English sources

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"You can have a strength of expression in a single drawing that I don't think computers will ever get.

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TGF-β was significantly up-regulated in FO-8 compared to FO-1 (p = 0.001), with a similar general trend in the strength of expression in different groups as the severity of lesions.

However, there was not a clear linear progression in the ultimate strength of expression.

Expression data for a statistical comparison of Shannon entropy and strength of expression (approximated as the sum across all tested tissues) were obtained from the human transcriptome atlas (Su et al. 2004).

With increasing N stress, both the strength of expression and number of genes being differentially expressed increased, until N was restored at which point these patterns reversed.

In addition, the spatial, temporal, and strength of expression of Sox9 strongly supported a biological relationship with Nr2e1 [ 70].

We believe that this is due to overly high protein levels under Gal4-UAS expression because we only observe it in a minority of cells and it correlates with the strength of expression in the given cell.

The relative strength of expression remained the same in a strain in which three genes (the ackA, pta, and poxB genes involved in the pyruvate oxidation pathway) were knocked out.

The blue plots display the level of relative expression (intensity ranking) among all sRNAs [ 45], and combined with the differential expression heat maps, provide a more accurate assessment of temporal patterns in differential expression and strength of expression.

To evaluate duration of oestrus and strength of expression, the visual oestrus detection was performed in a standardised manner using a scoring scale (Table 1), modified from van Eerdenburg et al. [ 22].

Since a significant fraction of genes in the different sets shows tissue specific patterns of expression (expressed in some but not all tissues) we were concerned that the average expression from all tissues would result in a bias towards ubiquitously expressed genes rather than providing information regarding each gene's potential strength of expression.

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