Sentence examples for useful exploratory from inspiring English sources

Clustering is a useful exploratory tool for gene-expression data.

Under these conditions, the application of the cluster analysis to kinetic parameters of proven descriptive capability becomes a useful exploratory method, which allows to decide combinations of protein sources apt to make compatible different potential purposes of LAB cultures.

Therefore, dynamic models of relevant transmission systems are useful exploratory and predictive tools.

Moreover, the case case comparison approach is a useful exploratory tool to examine etiologic heterogeneity between subtypes 51.

Case-case analyses among tumor subtypes are a useful exploratory tool to examine etiologic heterogeneity between the subtypes [ 53].

As new psychometric methods, such as Rasch Measurement Theory (RMT) [ 14], are able to provide useful exploratory data in small samples (n = 30) [ 15], there is good potential to use these to help determine 'best' administration mode in early instrument development.

Clustering is a useful starting exploratory tool to visualize highly dimensional data, and has been widely used to microarray data since the seminal paper of Eisen and cols.

The Ward's minimum variance clustering is useful for exploratory work when researchers do not have a preconceived number of clusters in the dataset.

In the presented case, immunohistochemistry was accurate and useful, and exploratory laparoscopy may play a significant role to detect the primary lesion.

Stepwise methods have been criticized for relying solely on mathematical criteria to build models, but they are useful in exploratory research where large numbers of variables make the model-building process computationally intensive and demanding (Katya Mauff, Statistical Consultant, Department of Statistical Sciences, University of Cape Town, personal communication, August 2011).

Clustering is also useful in exploratory data analysis (e.g., in exploring token occurrences in an unknown language), and indirectly supports various NLP applications because of its utility in improving language models, for instance in providing word clusters to be used for backing off from specific words in cases of data sparsity.