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To further demonstrate a requirement of TAK1 for HIF-1α-mediated repression of NF-κB, we assessed the levels of p100 and IAP1, two of the NF-κB targets that we analysed above, as well as RelA phosphorylation (Fig. 5D).
Then, we analysed above results based on the anti-reflection and resonance theory.
We extract a number of interaction features from the two services, which we will examine in the following section in light of their predictive power in addition to the structural features analysed above.
We next analysed the effect of SSA on co-transcriptional splicing of the transcripts analysed above.
The fact that RASSF7 is required for growth may explain why its expression is not silenced in the cancer cell lines analysed above.
In our study, only heterozygous patients were found (n=15), none of which carried one of the rare variants analysed above.
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The analyses above are verified by a series of experiments on a FPSE designed by our laboratory.
All the correlation analyses above were done by Spearman test.
The analyses above can be well validated by the data shown in Table 4.
The ROI analyses above demonstrate that at least 3 distinct tuning patterns exist in the data.
The models and analyses above completely ignore stochasticity and besides use a number of other approximations.
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