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Bayesian networks (BNs) are used to analyze the conditional dependencies among different events, which are expressed by conditional probability.
For the sake that the proposed SFR scheme can be better understood, we analyze the conditional coverage probabilities and average rate of four types of users (i.e., the interior and edge users of macro and pico BSs).
Unfortunately, use of either Tg(Pax2-Cre) or Tg Nes-Cre) leads to early postnatal lethality; therefore, we were not able to analyze the conditional mutant ear beyond P1.
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Martinez-Enriquze et al. [19] analyzed the conditional pdfs for every mode and estimated the RD cost to decide the optimal mode.
By developing and subsequently analyzing the conditional BHD knockout mouse model, we demonstrate that the deletion of BHD in the mouse kidney leads to cystic renal cell carcinoma (cystic RCC) in addition to polycystic kidney and hyperplasia.
This improved approach control for departures from conditional independence in the data sample, by explicitly analyzing the conditional dependence structure (i.e. the phylogenetic tree).
To further confirm whether β-catenin itself plays crucial roles in neural tube closure specifically within the GRHL3-positive uncommitted progenitor cells, we analyzed the conditional knockout (CKO) mutation of floxed-β-catenin driven by Cre recombinase from the Grhl3 locus (Fig. 8D J′).
The above results suggest that, in order to capture the quantitative changes that occur in solutions at higher levels of activation (recall that our model does not, per se, constrain the magnitude of neurotransmission), it is useful to analyze the behavior of the conditional average Vcyc versus the conditional average OGI.
In order to analyze the effects of conditional expression of avrRpt2 in Arabidopsis plants, transgenic lines were constructed that contained the avrRpt2 gene under the control of a tightly regulated, glucocorticoid-inducible promoter.
To further screen the most contribution factors to CRC among these miRNAs, the variables above were used to analyze in the conditional logistic regression.
To confirm that the KMTase activity of SETDB1 is critical for ERV silencing in mESCs [ 20], we analyzed the Setdb1 conditional KO mESC line, either unmodified (SETDB1 KO) or stably expressing wild-type (wt) (SETDB1 KO TG+) or KMTase-defective (SETDB1 KO C1243A) SETDB1 transgenes, the latter harbouring a single amino acid change in the catalytic domain [ 20].
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