Sentence examples for hypothesis building from inspiring English sources

Several bioinformatic approaches are available that facilitate the data interpretation and further hypothesis building.

This simplified representation allows the conformations of complex molecular motors to be simulated interactively, providing a tool for hypothesis building and quantitative comparisons between models and experiments.

Whatever framework is chosen, however, it should involve an explicit process of hypothesis building and testing an observation that was nicely made in "Bringing Science to the Art of Strategy," by A.G. Lafley, Roger L. Martin, Jan W. Rivkin, and Nicolaj Siggelkow (HBR, September 2012).

As there are only a very limited amount of measured data available on sediment budgets with altered land-use and climate change settings, the WASA-SED model was used to obtain qualitative estimates on the effects of past and future change scenarios to derive a baseline for hypothesis building and future discussion on the evolution of sediment budgets in such a dryland setting.

Microarrays are a sophisticated method for both hypothesis building and hypothesis testing within the same experimental setup due to the vast amount and large scale of obtained data without limitation to a set of presupposed genes or regulatory pathways.

In one sense, the cognitive processes (see Fig. 1) that group F had undergone were similar to how authentic crime scene investigation was conducted in real life where questioning, hypothesis building, verifying or eliminating the hypotheses were integral parts of the investigative procedures.

These questions, in turn, have led us to emerging areas of inquiry within the multi-disciplinary field of innovation studies, areas where foundational work is still needed in order to define key concepts, develop appropriate research methodologies, and conduct exploratory empirical studies to inform hypothesis and theory building.

The method enables cost and time efficient hypotheses building of both miRNA differential expression and miRNA-mRNA interactions using retrospective analyses of publicly available mRNA microarray datasets.

The ACSEA approach consists of the following key elements: annotation concept synthesis, a hypothesis fitness measure, a theory building strategy, integration of specialized algorithms, and methods for controlling the quality of the theory.

The primary outcome measures will provide an assessment of the intervention and the secondary outcome measures are descriptive, informing, and hypothesis-building.

Accordingly, critical discourse analysis should be viewed as an extension hypothesis-building analysis that aims to enrich the machine-driven quantitative analysis by identifying dominant language practices.