Sentence examples for uncertainty of expression from inspiring English sources

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(D ) Schematic of the total regulatory effects of tph-1 and daf-7 on both the dynamic range (ΔF) and variability and uncertainty of expression readouts to induce opposing effects on representational capability.

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Kaya and Kahraman [10] proposed a hybrid fuzzy AHP-ELECTRE approach for modeling the uncertainty of linguistic expression.

These discrepancies can be rationalized by the large uncertainty of low expression genes which accumulate in the underexpression spot.

We propose a novel method for DE analysis that includes a model of biological variance while also allowing for the technical uncertainty of transcript expression which is represented by samples from the posterior probability distribution obtained from the probabilistic model of read generation.

They appear either as relatively localized spots in the FC-rank and, to a less degree, in the WAD-rank maps or they 'smear' over larger regions in the shrinkage-t rank map due to the large uncertainty of low expression values.

For example, three types of drives are written into each character's nodes: physiological (i.e., hunger), social (i.e., affiliation needs), and cognitive (i.e., reduction of uncertainty and expression of competency).

The motivation for this study is to utilize robust ensemble methods that are less sensitive to the selection of genes and are capable of removing the uncertainties of gene expression data.

This amount of uncertainty in the expression of a set of genes under the action of a hormonal input reflects the effect of noise during the transmission of the message from the encoder (the specific hormonal receptor).

English PEN is concerned that the lack of consultation and parliamentary debate surrounding both that legislation and the creation of the royal charter has resulted in "a contradictory and arbitrary series of definitions and exemptions that will create uncertainty and chill freedom of expression".

However, given the uncertainty associated with magnitude of expression changes as discussed above, it is unlikely that all of these genes are associated with true signals.

These studies can be divided into four classes as fuzzy programming approach, stochastic programming approach, scenario-based programming approach, and robust optimization approach in terms of uncertainty expression type in the problem.

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