Data processing: artificial intelligence – Knowledge processing system – Creation or modification
Reexamination Certificate
2007-08-13
2010-11-30
Holmes, Michael B. (Department: 2129)
Data processing: artificial intelligence
Knowledge processing system
Creation or modification
Reexamination Certificate
active
07844567
ABSTRACT:
Described are a system and method for selecting a training sample from a sample set. The method comprises determining proximities between all data samples in a set of the data samples, forming edges between the data samples as a function of the proximities, computing weights for the edges as a function of the proximities, selecting a plurality of the data samples as a function of the weights to form a subset of the data samples, and storing the subset of the data samples.
REFERENCES:
Carlson et al. “Gene connectivity, function, and sequence conservation: predictions from modular yeast co-expression networks”, BMC Genomics2006, 7:40, pp. 1-15.
Eisen et al. “Cluster analysis and display of genome-wide expression patterns”, Proc. Natl. Acad. Sci. USA, vol. 95, pp. 14863-14868, Dec. 1998, Genetics.
Pereira-Leal et al. “An Exponential Core in the Heart of the Yeast Protein Interaction Network”, Molecular Biology and Evolution, vol. 22, No. 3, pp. 421-425.
He Xiaofei
Zhang Wei Vivian
Chang Li-Wu
Holmes Michael B.
Ostrow Seth H.
Ostrow Kaufman LLP
Yahoo ! Inc.
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