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Displaying 1-6 out of 6 total
Fuzzy Intervention in Biological Phenomena
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics
By H. N. Nounou,M. N. Nounou,N. Meskin,A. Datta,E. R. Dougherty
Issue Date:November 2012
pp. 1819-1825
An important objective of modeling biological phenomena is to develop therapeutic intervention strategies to move an undesirable state of a diseased network toward a more desirable one. Such transitions can be achieved by the use of drugs to act on some ge...
 
Parameter Estimation of Biological Phenomena: An Unscented Kalman Filter Approach
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics
By N. Meskin,H. Nounou,M. Nounou,A. Datta
Issue Date:March 2013
pp. 537-543
Recent advances in high-throughput technologies for biological data acquisition have spurred a broad interest in the construction of mathematical models for biological phenomena. The development of such mathematical models relies on the estimation of unkno...
 
Multiscale Denoising of Biological Data: A Comparative Analysis
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics
By M. N. Nounou,H. N. Nounou,N. Meskin,A. Datta,E. R. Dougherty
Issue Date:September 2012
pp. 1539-1545
Measured microarray genomic and metabolic data are a rich source of information about the biological systems they represent. For example, time-series biological data can be used to construct dynamic genetic regulatory network models, which can be used to d...
 
Wavelet-based Multiscale Filtering of Genomic Data
Found in: 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
By M. Nounou,H. Nounou,N. Meskin,A. Datta
Issue Date:August 2012
pp. 804-809
Measured biological data are a rich source of information about the biological phenomena they represent. For example, time-series genomic or metabolic micro array data can be used to construct dynamic genetic regulatory network models, which can be used to...
 
Multiscale Denoising of Biological Data: A Comparative Analysis
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
By A. Datta, E. R. Dougherty, H. N. Nounou, M. N. Nounou, N. Meskin
Issue Date:September 2012
pp. 1539-1545
Abstract: Measured microarray genomic and metabolic data are a rich source of information about the biological systems they represent. For example, time-series biological data can be used to construct dynamic genetic regulatory network models, which can be...
     
Parameter Estimation of Biological Phenomena: An Unscented Kalman Filter Approach
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
By A. Datta, H. Nounou, M. Nounou, N. Meskin
Issue Date:March 2013
pp. 537-543
Recent advances in high-throughput technologies for biological data acquisition have spurred a broad interest in the construction of mathematical models for biological phenomena. The development of such mathematical models relies on the estimation of unkno...
     
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