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We found that for the N and E compartments of Unknown-4700, the proteins mFPT predict correctly are only 31% and 29%, which was potentially due to there being only 1342 proteins with limited features as the training samples for predicting five locations of preteins, almopst certainly did not reflect the totality of characteristics of the yeast proteome.
In this analysis, we only used male samples for predicting smoking behaviors, because there are insufficient numbers of female smokers.
Our investigation was based on the analysis of GWA dataset of 8,842 KARE samples, for predicting smoking behaviors.
For smoking-related phenotypes, we considered only male samples for predicting smoking behaviors because the number of female smokers was very small.
In the present study, we have shown the clinical usefulness of RPN2 expression in endoscopic biopsy samples for predicting sensitivity to docetaxel-based chemotherapy.
We have identified a CpG island methylation classifier that can be used with oral rinse samples for predicting incident oral and pharyngeal carcinoma with a high degree of accuracy.
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We calculated the sensitivity, specificity, and positive predictive value of a single urine sample for predicting high BPA tertile by comparing predicted and observed classifications for agreement (Hauser et al. 2004; Meeker et al. 2005).
This will aid in determining the appropriate anatomic unit that should be sampled for predicting short- and long-term breast cancer risk.
To assess the effect of the sample size for predicting, we analyzed prediction models generated using 437 Han Chinese samples (which included the original 214 samples) that were genotyped using the Illumina 550 K chip.
Optimal sample sizes for predicting the response are also derived.
In this paper we propose a Markov chain Monte Carlo sampling method for predicting protein complexes from protein protein interactions (PPIs).
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