Methods and apparatus for fast identification of relevant features for classification or regression
US8942459B2 · kind B2 · utility
1Cited by
4References
33Claims
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Key dates
| Filing date | Sep 12, 2011 |
| Grant date | Jan 27, 2015 |
| Priority date | — |
| Expiry date | Mar 30, 2033 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/771
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
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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