Fast microarray expression data analysis method for network...

Details Fast microarray expression data analysis method for network... Fast microarray expression data analysis method for network...

2005-06-21

2005-06-21

Moran, Marjorie (Department: 1631)

Data processing: measuring, calibrating, or testing

Measurement system in a specific environment

Biological or biochemical

C702S020000, C702S030000

Reexamination Certificate

active

06909970

ABSTRACT:
A method for performing network reconstruction is provided. The method includes the steps of selecting a predictor set of features, adding a complement to the predictor set based on a quality of prediction, checking to see if all of the features of the predictor set are repeated, and then removing one feature from the predictor set. The Algorithm and method repeats the steps of adding a complement, checking the predictor set and removing a feature until the features of the predictor set are repeated. If the features of the predictor set are repeated, the algorithm and method terminate.

REFERENCES:
Bishop, C.M., “Neural Networks for Pattern Recognition”, pp. 1-31 and 295-331 Clarendon Press, Oxford, 1997.
Somol P., Pudil P., “Oscillating Search Algorithms for Feature Selection”, Proceedings 15th International Conference on Pattern Recognition, vol. 2, pp. 406-409, Barcelona, Spain, 2000.
M. Bittner et al., “Molecular Classification of Cutaneous Malignant Melanoma by Gene Expression Profiling”, Nature, vol. 406, pp. 536-540 Aug. 2000.
P. Pudil, J. Novovicova, J. Kittl r, “Floating Search Methods in Feature Selection”, Pattern Recognition Letters 15 (1994) pp. 1119-1125, Elsevier Science B.V.

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