Sentence examples for samples and solving from inspiring English sources

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Alternately, we developed a tissue compartment analysis (TCA) method that allows quantifying the fractional volume of the different structures constituting tissue samples and solving the problem of tissue sample heterogeneity, and applied it to identify biomarkers.

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Both co-clustering and template assignment identify small differences between similar samples, and solve the problem of enumerating an absent or very small population, e.g., 0 5 cells in a negative control.

We note that whereas the low-rank functional identification algorithm is formulated as nonlinear sampling using TEMs and solved using recent advances in low-rank matrix sensing, the other algorithms tested here rely on moment-based or likelihood-based methods that require a large number of samples to converge.

RO algorithms generate a sequence of sample-path (SP) problems and solve these SP problems iteratively using a nonlinear optimizer.

The idea is predicting the objective function and solution of the true problem by taking a sample size of N and solve the problem in Eq. (18) known as SAA problem.

The concept behind bootstrapping is to approximate a true sampling distribution by constructing a pseudo-sample and re-solving the DEA model for each unit with the new data.

They ensured smooth communications and liaison, quality assurance of samples and slides, problem solving and most importantly a link between laboratories, communities and HEWs and other parts of the health sector.

Students simply searched the Internet for missing information, unaware of the assumptions behind most data (i.e., sample sizes and confidence intervals) and solved the problem.

By participating jointly, Montgomery and Jones invite the sharing of data and samples, helping solve the problems that Jones's postdoc has in determining the right conditions for administering the drug while ensuring that the correct credits occur in regard to the publication of findings.

The fused image is recovered from the reduced samples by solving the optimization.

Step 3: Compute relevancy values of the samples by solving the matrix problem in equation (16 ).

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