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From the MRI data, a representation of the cerebral cortex was constructed using the FreeSurfer program (http://surfer.nmr.mgh.harvard.edu/) to separate the scalp, skull, and brain.
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From profiles of your favourite movies to where you ate out last night, this vast mountain of data is a representation of you that you can do little about.
The applied method converts suitable CAD data into a representation appropriate for MC codes.
The data are a representation of one out of three independent experiments showing similar results.
How does the brain dynamically convert incoming sensory data into a representation useful for classification?
For systems biology, a fundamental question to address is how to verify the correctness of a model that integrates vast amounts of data into a representation of reality.
Almost all methods that detect single nucleotide variants (SNVs) from NGS data use a representation of digital allelic counts to infer allelic abundance in the sample.
Thus we treat the STRING data as a representation of functional association between proteins, regardless of how this association was derived.
While Deep Learning aids in providing a semantic and relational understanding of the data, a vector representation (corresponding to the extracted representations) of data instances would provide faster searching and information retrieval.
To get further insight into the data, a graphical representation of SAC at increasing spatial scales, for example, a correlogram, can be created.
The goodness of the data representation has a large impact on the performance of machine learners on the data: a poor data representation is likely to reduce the performance of even an advanced, complex machine learner, while a good data representation can lead to high performance for a relatively simpler machine learner.
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CEO of Professional Science Editing for Scientists @ prosciediting.com