Sentence examples for diverse experimental data from inspiring English sources

Apparently, this dual parameterization warrants the better correlation between the experimental and computational solvation free energies than the single parameterization because more diverse experimental data can be included in reference dataset.

In such applications, contributing and diverse experimental data and models need to be combined as evidence supporting integrated testing, safety and risk assessment and regulatory reporting as stipulated under REACH.

The challenge of modern oncology is to integrate all the diverse experimental data to create a physiological/metabolic/energetic paradigm that can unite our thinking in order to understand how both neoplastic progression and therapies function.

To obtain a more accurate treatment on the product distribution from coal devolatilization, an artificial neural network (ANN) model is innovatively developed based on a training database constructed from diverse experimental data for a wide range of coal types under a wide range of heating conditions.

A systems approach to biology or medicine requires the sharing, integration and navigation of large and diverse experimental data sets to develop the models and hypotheses required to make new discoveries and to develop new treatments.

Here the diverse experimental data are integrated and presented in a protein-centric manner where information is queried and presented via common proteins and connected to experimental data and the network of protein attributes, including information on the encoding genes, protein families, pathways, functions and more.

The mechanisms of cell death after CNS trauma are diverse, and experimental data suggest that multiple cell death pathways are involved (54, 58).

In our group, we have been using TargetMine for analysing a diverse array of experimental data and we have verified experimentally that some of the prioritised genes have been associated with the disease of interest [54].

These improvements must be based on diverse and qualified experimental data.

The inference engine core is based on a Bayesian model implemented to (i) allow diverse source of experimental data and metadata to be systematically incorporated into the model with alternative ways to calculate the likelihood function and (ii) allow sensitive selection of biologically meaningful biochemical reaction databases as Dirichlet-categorical prior distribution.

Numerous attempts have been made to validate these methods by comparing predictions with experimental data from diverse sources ranging from in-pile irradiation tests to operating HTGRs.