Methods and apparatus for fast identification of relevant features for classification or regression
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United States of America Patent
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Jan 27, 2015
Grant Date -
Mar 14, 2013
app pub date -
Sep 12, 2011
filing date -
Sep 12, 2011
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Abstract
In various embodiments, methods and apparatus are provided for automated selection of features of cells useful for classifying cell phenotype. The methods include determining a signal-to-noise ratio (S/N) for each of a plurality of pairs of features, rather than S/N for individual features. The approach is capable of quickly identifying a small set of features of imaged cells that are most relevant for classification of a desired cell phenotype from among a very large number of features. The small group of relevant features can then be used to more efficiently and more accurately classify phenotype of unidentified cells.
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