Claims
- 1. A method for constructing a model network comprising:
(a) determining a measure of association between a combination of network nodes associated with at least one other network node; (b) constructing a plurality of predictor functions for the at least one other network node given the combination of network nodes; (c) transforming the measure of association between the combination of network nodes and at least one other network node into a predictor function probability; and (d) constructing a network representative of a complex system utilizing the plurality of predictor functions and the predictor function probabilities.
- 2. The method of claim 1, wherein the network is representative of a biological system.
- 3. The method of claim 2, wherein the biological system is an animal
- 4. The method of claim 2, wherein the biological system is a cell.
- 5. The method of claim 2, wherein the biological system is a gene regulatory network.
- 6. The method of claim 1, wherein at least one predictor function is based on multivariate logic.
- 7. The method of claim 6, wherein at least one predictor function is based on ternary logic.
- 8. The method of claim 1, wherein at least one predictor function is based on binary logic.
- 9. A method for constructing a network representative of a biological system comprising:
(a) selecting a combination of network nodes associated with a state of at least one other network node; (b) determining a measure of association between the combination of network nodes and at least one other network node; (c) constructing a plurality of predictor functions for a value of at least one other network node given the combination of network nodes; (d) transforming the measure of association between the combination of gene network nodes and the at least one other network node into a predictor function probability; and (e) constructing a network representative of a biological system utilizing the plurality of predictor functions and the predictor function probabilities.
- 10. The method of claim 9, wherein the biological network is a gene regulatory network.
- 11. The method of claim 9, wherein selecting a combination of network nodes comprises identifying at least one sub-cluster of nodes.
- 12. The method of claim 11, further comprising selecting meta-clusters of nodes, wherein the meta-cluster is a cluster of sub-clusters.
- 13. An apparatus comprising a machine readable medium containing instructions which, when executed by a machine, cause the machine to perform operations comprising:
(a) receiving values for a plurality of network nodes; (b) selecting a combination of network nodes associated with a state of at least one other network node; (c) determining a cumulative measure of association between the combination of network nodes and at least one other network node; (d) constructing a plurality of predictor functions for a value of at least one other network node given the combination of network nodes; (e) transforming the cumulative measure of association between the combination of network nodes and at least one other network node into a predictor function probability; and (f) constructing a network representative of a complex system utilizing the plurality predictor functions and the predictor function probabilities.
- 14. The apparatus of claim 13, further comprising sending the result of the performed operations to a remote user.
- 15. The apparatus of claim 14, wherein sending is by using internet compatible protocols.
- 16. A method comprising:
(a) identifying a plurality of network nodes related to a state of at least one other network node within a network, wherein each network node of the network includes a network node value which influences a gene expression state; (b) constructing a plurality of predictor functions from a combination of network nodes utilizing at least one of the network node values for at least one target node; (c) determining a cumulative measure of association for combinations of network nodes; (d) transforming the cumulative measure of association into a probability that any one of a plurality of predictor functions is utilized to determine a state of at least one other node of a network; and (e) connecting a plurality of network node combinations to construct a probabilistic boolean network.
- 17. The method of claim 16, wherein the network is a biologic network.
- 18. The method of claim 16, wherein identifying a plurality of network nodes comprises identifying a sub-cluster of nodes.
- 19. The method of claim 18, further comprising identifying meta-clusters of nodes, wherein the meta-cluster is a cluster of sub-clusters.
- 20. The method of claim 17, further comprising diagnosing a disease state using the probabilistic boolean network.
- 21. The method of claim 17, further comprising identifying a therapeutic target using the probabilistic boolean network.
Parent Case Info
[0001] This application claims priority to U.S. Provisional Patent application serial No. 60/352,725 filed Jan. 30, 2002 and is incorporated herein by reference.
Provisional Applications (1)
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Number |
Date |
Country |
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60352725 |
Jan 2002 |
US |