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ACA, the first oxidized metabolic product of ethanol, has been considered a likelihood candidate toxin for the pathogenesis of alcoholic cardiomyopathy because its ability to concentrate in the heart and its high reactive property compared to ethanol (6).
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STARD8 is not a very extensively studied gene, which could explain its relatively low level of annotation and subsequent poor ranking obtained with the annotation-based evaluation Despite these limitations, a set of nine genes not previously associated with XLMR has emerged as high likelihood candidates by both prioritization approaches.
Nonstationary covariance parameters are estimated using maximum likelihood, and candidate parametrizations are compared by the likelihood ratio test and Akaike Information Criterion.
We compute the likelihood of candidate BPNs in terms of parameters accounting for the noisiness in the observed states of the gene-gene interactions.
58 Once a differential diagnosis is generated, weighing the likelihood of candidate diagnoses is subject to various challenges and cognitive pitfalls.
To select proteins with a high likelihood as candidate effectors we focused on tribes that ranked highly based on our scoring system, are highly expressed and enriched in haustoria, and display sequence polymorphisms between isolates.
(The worst part about that is that increases the likelihood of candidates comparing themselves to Tebow, as Perry already has).
In that case, parameters of the SSS acoustic model can be used to compute likelihoods of candidate units [3, 4] or distance of candidate unit parameters to SSS-generated parameters can be used for target cost computation [5].
To compare alternative topologies obtained from previous studies [3], [4] with the combined datasets, site-wise log-likelihoods for candidate trees were calculated using PAUP*4.0b and used as inputs into the CONSEL program package [40].
The relative likelihoods of candidate models were calculated using BIC weights [59], [60], with the weight (wBIC) of any particular model varying from 0 (no support) to 1 (complete support) relative to the entire model set.
Relative likelihoods of candidate models were calculated using AICc and BIC weights [39], with weight (wAICc and wBIC) of any particular model varying from 0 (no support) to 1 (complete support) relative to the entire model set.
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