Peak selection in multidimensional data
US7197401B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Mar 7, 2005 |
| Grant date | Mar 27, 2007 |
| Priority date | — |
| Expiry date | Mar 7, 2025 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY10T436/24
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
An automatic peak selection method for multidimensional data that selects peaks from very noisy data such as two-dimensional liquid chromatography-mass spectrometry (LC-MS) data is described. Such data are characterized by non-normally distributed noise that varies in different dimensions. The method computes local noise thresholds for each one-dimensional component of the data. Each point has a local noise threshold applied to it for each dimension of the data set, and a point is selected as a candidate peak only if its value exceeds all of the applied local noise thresholds. Contiguous candidate peaks are clustered into actual peaks. The method is preferably implemented as part of a high-throughput platform for analyzing complex biological mixtures.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.