Sentence examples for interpret large amounts of from inspiring English sources

- Proven ability to think critically and seek out, synthesize and interpret large amounts of information.

ICU workers and family members must interpret large amounts of information to make difficult decisions for incapable patients with life-threatening illnesses.

The improved Bicluster Sampled Coherence Metric (BSCM) provides a better way to simplify and interpret large amounts of expression data that come from multiple sources.

Cluster analyses are frequently used in the field of genomics or proteomics together with heatmapping (7) to handle and interpret large amounts of data by classifying them on the basis of their similarity.

Other advantages over InterViewer, GEOMI and BioLayout Express 3D include the ability to assign custom properties (both visual and physical) to individual nodes and edges, making it easier to visualize and interpret large amounts of information.

These include the complex nature of care protocols, need to interpret large amount of interrelated clinical information, demands on patients' self discipline as well as lack of time and resources for counseling and reinforcement of compliance.

Users of IA face the daunting task of interpreting large amounts of data and uncertainties.

However, retrospective comparisons with propensity score adjustment are more versatile and offer a useful way of interpreting large amounts of audit data and of seeking answers to questions that may present insuperable difficulties in the design of randomized controlled trials.

Although whole-genome sequencing and metagenomics hold great promise for characterizing pathogens for surveillance, outbreak detection, and detection of emergence of new pathogens, they also pose challenges for processing, analyzing, and interpreting large amounts of data.

We think that the tools should be developed based on the principles of data-driven signal processing and systems biology which is based on interpreting large amounts of genome-wide measurement data.

For this purpose, bioinformatic methods suitable to process and interpret the large amounts of high-dimensional data, and also algorithms for the identification of rules concerning the expression of disease-specific genes, are of utmost importance [ 35].