Data processing: artificial intelligence – Neural network – Learning task
Reexamination Certificate
2008-05-06
2008-05-06
Holmes, Michael B (Department: 2129)
Data processing: artificial intelligence
Neural network
Learning task
Reexamination Certificate
active
10507737
ABSTRACT:
A neural network module is provided. It comprises an input layer comprising one or more input nodes configured to receive gene expression data. It also has a rule base layer comprising one or more rule nodes and an output layer comprising one or more output nodes configured to output one or more conditions. It also comprises an adaptive component configured to extract one or more rules from the rule base layer representing relationships between the gene expression data and the one or more conditions. Methods and systems using the module are disclosed as well as specific profiles utilising the system.
REFERENCES:
patent: 5579439 (1996-11-01), Khan
patent: 5727130 (1998-03-01), Hung
patent: 5790761 (1998-08-01), Heseltine et al.
patent: 6493637 (2002-12-01), Steeg
patent: 6714925 (2004-03-01), Barnhill et al.
patent: 6760715 (2004-07-01), Barnhill et al.
patent: 6789069 (2004-09-01), Barnhill et al.
patent: 6882990 (2005-04-01), Barnhill et al.
patent: 6925389 (2005-08-01), Hitt et al.
patent: 6980974 (2005-12-01), Kobayashi et al.
patent: 7003403 (2006-02-01), Dougherty et al.
patent: 7062076 (2006-06-01), Osborne et al.
patent: 7089217 (2006-08-01), Kasabov
patent: 7096206 (2006-08-01), Hitt
patent: 7117185 (2006-10-01), Aliferis et al.
patent: 7117188 (2006-10-01), Guyon et al.
patent: 7240038 (2007-07-01), Hitt
patent: 7257563 (2007-08-01), Shmulevich et al.
Gene selection and cancer classification using a fuzzy neural network Feng Chu; Wei Xie; Lipo Wang; Fuzzy Information, 2004. Processing NAFIPS '04. IEEE Annual Meeting of the vol. 2, Jun. 27-30, 2004 pp. 555-559 vol. 2 Digital Object Identifier 10.1109/NAFIPS.2004.1337361.
A graphical operating environment for neural network expert systems Quah, T.S.; Tan, C.L.; Teh, H.H.; Neural Networks, 1991. 1991 IEEE International Joint Conference on Nov. 18-21, 1991 pp. 684-689 vol. 1 Digital Object Identifier 10.1109/IJCNN.1991.170479.
Drosophila Grail: an intelligent system for gene recognition in Drosophila DNA sequences Ying Xu; Helt, G.; Einstein, J.R.; Rubin, G.; Uberbacher, E.C.; Intelligence in Neural and Biological Systems, 1995. INBS'95, Proceedings., First International Symposium on May 29-31, 1995 pp. 128-135 Digital Object Identifier 10.1109/INBS.1995.404269.
Finding Compact Classification Rules With Parsimonious Gene Expression Programming Weihong Wang; Qu Li; Zhihua Cai; Neural Networks and Brain, 2005. ICNN&B '05. International Conference on vol. 2, Oct. 13-15, 2005 pp. 702-705 Digital Object Identifier 10.1109/ICNNB.2005.1614725.
Accurate Cancer Classification Using Expressions of Very Few Genes Wang Lipo ; Chu Feng ; Xie Wei ; IEEE/ACM Transactions on Computational Biology and Bioinformatics : Accepted for future publication vol. PP, Issue 99, 2007 p. 1-1 Digital Object Identifier 10.1109/tcbb.2007.1006.
Bioinformatics with soft computing Mitra, S.; Hayashi, Y.; Systems, Man and Cybernetics, Part C, IEEE Transactions on vol. 36, Issue 5, Sep. 2006 pp. 616-635 Digital Object Identifier 10.1109/TSMCC.2006.879384.
Uncertainty of data, fuzzy membership functions, and multilayer perceptrons Duch, W.; Neural Networks, IEEE Transactions on vol. 16, Issue 1, Jan. 2005 pp. 10-23 Digital Object Identifier 10.1109/TNN.2004.836200.
Characterizing human gene splice sites using evolved regular expressions Jing-Jing Li; De-Shuang Huang; MacCallum, R.M.; Xiao-Run Wu; Neural Networks, 2005. IJCNN '05. Proceedings. 2005 IEEE International Joint Conference on vol. 1, Jul. 31-Aug. 4, 2005 pp. 493-498 vol. 1 Digital Object Identifier 10.1109/IJCNN.2005.1555880.
Genes IV: A bit-serial processing element for a built-model neural-network accelerator Ienne, P.; Viredaz, M.A.; Application-Specific Array Processors, 1993. Proceedings., International Conference on Oct. 25-27, 1993 pp. 345-356 Digital Object Identifier 10.1109/ASAP.1993.397157.
Genetic algorithm
eural network synergy for nonlinearly constrained optimization problems Shonkwiler, R.; Miller, K.R.; Combinations of Genetic Algorithms and Neural Networks, 1992. Cogann-92. International Workshop on Jun. 6, 1992 pp. 248-257 Digital Object Identifier 10.1109/COGANN.1992.273935.
Bioinformatics: a knowledge engineering approach Kasabov, N.; Intelligent Systems, 2004. Proceedings. 2004 2nd International IEEE Conference vol. 1, Jun. 22-24, 2004 pp. 19-24 vol. 1.
Splice-junction recognition on gene sequences (DNA) by Brain learning algorithm Rampone, S.; Neural Networks Proceedings, 1998. IEEE World Congress on Computational Intelligence. The 1998 IEEE International Joint Conference on vol. 1, May 4-9, 1998 pp. 774-779 vol. 1 Digital Object Identifier 10.1109/IJCNN.1998.682379.
An evolution of cellular automata neural systems using DNA coding method Dong-Wook Lee; Kwee-Bo Sim; Fuzzy Systems Conference Proceedings, 1999. FUZZ-IEEE '99. 1999 IEEE International vol. 1, Aug. 22-25, 1999 pp. 117-122 vol. 1 Digital Object Identifier 10.1109/FUZZY.1999.793217.
Synthesis of self-replication cellular automata using genetic algorithms Kajisha, H.; Saito, T.; Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on vol. 5, Jul. 24-27, 2000 pp. 173-177 vol. 5 Digital Object Identifier 10.1109/IJCNN.2000.861453.
A method for modelling genetic regulatory networks by using evolving connectionist systems and microarray gene expression data Kasabov, N.K.; Dimitrov, D.S.;Neural Information Processing, 2002. ICONIP '02. Proceedings of the 9th International Conference on vol. 2, Nov. 18-22, 2002 pp. 596-601 vol. 2 Digital Object Identifier 10.1109/I.
An efficient heuristic-based evolutionary algorithm for solving constraint satisfaction problems Tam, V.; Stuckey, P.; Intelligence and Systems, 1998. Proceedings., IEEE International Joint Symposia on May 21-23, 1998 pp. 75-82 Digital Object Identifier 10.1109/IJSIS.1998.685421.
On Classification Models of Gene Expression Microarrays: The Simpler the Better Pranckeviciene, E.; Somorjai, R.; Neural Networks, 2006. IJCNN '06. International Joint Conference on Jul. 16-21, 2006 pp. 3572-3579.
Gene classification using expression profiles: a feasibility study Kuramochi, M.; Karypis, G.; Bioinformatics and Bioengineering Conference, 2001. Proceedings of the IEEE 2nd International Symposium on Nov. 4-6, 2001 pp. 191-200 Digital Object Identifier 10.1109/BIBE.2001.974429.
Self-organizing neural networks for efficient clustering of gene expression data Ji He; Ah-Hwee Tan; Chew-Lim Tan; Neural Networks, 2003. Proceedings of the International Joint Conference on vol. 3, Jul. 20-24, 2003 pp. 1684-1689 vol. 3 Digital Object Identifier 10.1109/IJCNN.2003.1223660.
A computational approach to reconstructing gene regulatory networks Deng, X.; Ali, H.; Bioinformatics Conference, 2003. CSB 2003. Proceedings of the 2003 IEEE Aug. 11-14, 2003 pp. 413-414 Digital Object Identifier 10.1109/CSB.2003.1227350.
Futschik Mathias Erwin
Guilford Parry John
Kasabov Nikola Kirilov
Reeve Anthony Edmund
Sullivan Michael James
Borson D. Benjamin
Holmes Michael B
Pacific Edge Biotechnology Ltd.
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