Sentence examples for profile of interest from inspiring English sources

In this study, the detection of a potential profile change takes place before the entire information on the profile of interest is fully available.

First, is it actually possible for the Bank to provide specific direction as to the future profile of interest rates when the Monetary Policy Committee prides itself on setting policy on a month-by-month/one-member-one-vote basis?

This is because conventional methods do not consider other related conditions, and the results of conventional methods include considerable noise due to the limited number of observation points in each expression profile of interest.

This strategy uses a profile of interest routing of node in a k-dimensional vector Iu.

Given the necessity to adopt tailored test mixtures based on the drug profile of interest it was necessary to validate the methods for confirmation of positive drugs.

Here, we show a scalable transcriptional/posttranscriptional synthetic regulatory circuit a cell-type "classifier"—that senses expression levels of a customizable set of endogenous microRNAs and triggers a cellular response only if the expression levels match a predetermined profile of interest.

In a few years, Mr. Yoon says, a person's profile of interests could be the basis for micropayments or discounts.

He mentioned the singles site, and she offered to help him find a few profiles of interest.

Having established the excellent performance of seriation on noisy SAGE data containing a few expression profiles of interest, we went on to evaluate the dependence of performance on the number of expression profiles to be identified in the analysis.

We tested the performance of seriation as well as the PoissonC clustering algorithm, a successful K-means clustering algorithm previously developed specifically for SAGE data [12] on the simulation data set in three rounds, each time increasing the amount of noise present among the profiles of interest (Table S1).

We extend Bayesian clustering techniques to explore predictive risk surfaces for covariate profiles of interest.