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Using two different views of the data allows us to use initially unlabeled microarrays as an additional source of training data for our models.
This intelligent use of data allows us to target already-stretched financial resources within a school.
The use of SynTReN simulated data allows us to examine the mapping between the E coli relationships, used to build the data files, and our determined relationships.
The use of patent data allows us to focus on the invention stage.
The use of Australian data allows us to compare our simulated debt repayments to actual repayments under the Australian Higher Education Contribution Scheme (HECS).
The use of metagenome data allows us to incorporate information from environmental communities into the inference process.
As fiber breaks are intrinsically random, the variability of input data allows us to describe the probabilistic model by using the Monte-Carlo method.
The data allows us to hypothesise that APRIL may provide a useful novel therapeutic target.
Comparing cathodes using a combination of in-situ and ex-situ synchrotron XRD data allows us to rationalise cathodic performance with structure and thereby directing research into promising candidates.
The same data allows us to assess this, and the findings are sobering.
"I think this data allows us to just step back and say look for yourself here, don't listen to us".
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com