Sentence examples for methods addressing this from inspiring English sources

Methods addressing this problem commonly search for clusters of pattern occurrences that are statistically significant.

However, identification of reprogramming determinants still remains a combinatorial problem, and the state-of-art methods addressing this issue rests on exhaustive experimentation or prior knowledge to narrow down the list of candidates.

Among the widely used computational methods addressing this problem are Bayesian reasoning (Chen and Xu, 2004), network-based analysis (Mostafavi and Morris, 2010; Mostafavi et al., 2008), kernel-based statistical learning (Lanckriet et al., 2004) and matrix factorization-based data fusion (Žitnik and Blaz, 2014).

Reduced methods address this problem by carrying out phase equilibrium calculations using a reduced number of independent parameters.

In recent years, many methods addressed this challenge, ranging from cycle decomposition and fragment assembly to molecular dynamics simulations.

C&RT methods address this issue by taking all possible joint effects and collapsing them into groups that have similar predicted values for the outcome through a recursive partitioning process.

To our knowledge, there hasn't been any method addressing this problem has plotted the ROC curve for these AR datasets.

Our method addresses this issue in different ways.

Our method addresses this shortcoming by using a content analysis approach to combine the results of many qualitative studies conducted in different settings amongst various populations [ 10].

We also discuss a fundamental limitation of greedy peak-calling approaches in the case of overlapping nucleosomes and how our method addresses this issue.

Online scheduling methods address this problem by using only the statistics of energy arrivals.