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When coupled with a microarray expression database and data analysis and viewing tools, these data can serve as a foundation for proposing hypotheses and performing dedicated research.
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Both these orientations to data analysis and integration view the complexity and 'messiness' of the data generated through such a holistic approach as beneficial rather than problematic.
In the heart of the learning environment lies a module with the task of collecting and storing learner viewing activity for data analysis and data mining purposes.
Using both open-source and in-house bioinformatics tools, PeanutDB provides users with easy-to-use and seamlessly integrated web interfaces or views that facilitates data analysis and mining.
In section "Video learning analytics", we describe a module for gathering and storing viewing activity data for data analysis and data mining purposes.
Data analysis and applications.
Data analysis and interpretation: ZPT.
Geographers get to learn data analysis, and to read Robert Macfarlane.
conducted data analysis, and P.S.G. carried out statistical analysis.
To put it another way, is the activity of data analysis properly viewed as separate, and separable from the activity of data gathering?
Quantitative data analysis is viewed as level 1 understanding of social conditions enabling or inhibiting practice in Giddens' Structuration Theory framework.
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CEO of Professional Science Editing for Scientists @ prosciediting.com