Computer systems and methods for identifying conserved cellular constituent clusters across datasets
US8600718B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 16, 2007 |
| Grant date | Dec 3, 2013 |
| Priority date | — |
| Expiry date | Jan 5, 2032 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16B25/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for determining a functional relationship between pairs of cellular constituents are provided. A plurality of datasets is received. Each dataset represents an experimental condition and comprises measurement data for a plurality of cellular constituents from each of a plurality of organisms. Each respective dataset is represented by correlation coefficients. Each correlation coefficient for a respective dataset in the plurality of datasets represents a correlation between abundance measurement data for a pair of cellular constituents across the dataset. The plurality of correlation coefficients that represents a first dataset in the plurality of datasets is clustered, thereby determining their order. This order is applied to each remaining dataset thereby forming a plurality of correlation matrices. When a conserved area in the plurality of matrices is identified, the functional relationship between the first cellular constituent and the second constituent is determined to be present.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.