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Inference of regulatory interactions in genetic systems

used in that they not only capture the inherent non-linearity of the process but also account for the regulatory behavior of proteins and;

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Biomolecular Networks

problems and novel computational methods:* GENE NETWORKS-Transcriptional regulation; reconstruction of gene regulatory networks; and inference;

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Big Data in Omics and Imaging: Integrated Analysis and Causal Inference

and imaging data analysis and causal inference in big data era. Despite significant progress in dissecting the genetic architecture of complex;

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Big Data in Omics and Imaging: Integrated Analysis and Causal Inference

and imaging data analysis and causal inference in big data era. Despite significant progress in dissecting the genetic architecture of complex;

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Analysis of Microarray Data: A Network-Based Approach

* Statistical Methods for Inference of Genetic Networks and Regulatory Modules* Identification of Genetic Networks by Structural Equations* Predicting;

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Engineering Genetic Circuits

regulatory networks, Engineering Genetic Circuits presents the modeling, analysis, and design methods for systems biology. It discusses how to;

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Engineering Genetic Circuits

regulatory networks, Engineering Genetic Circuits presents the modeling, analysis, and design methods for systems biology. It discusses how to;

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Hybrid Systems Biology

reviewed and selected from 13 submissions. They cover topics such as: modeling and analysis of metabolic, signaling, and genetic regulatory;

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Drug-Drug Interactions: Scientific and Regulatory Perspectives

DrugDrug Interactions is a comprehensive review of the scientific and regulatory perspectives of drugdrug interactions from the;

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Molecular Evolution

) in 1985, have been engaged in the research of the evolution of molecular genetic regulatory systems ever since those pioneering years. The book;

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Complexus Mundi

role in the complexity management of socio-econo-political systems? Is it possible to extract the global properties of genetic regulatory;

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Human Evolutionary Trees

populations may be made from genetic data of modern populations. The pattern of genetic differentiation between human populations reflects and;

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Soft Computing with NeuroFuzzy Systems

This book covers different topics from soft computing and neuro-fuzzy systems, including intelligent;...

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Diagnostics of Mechatronic Systems

and by studying examples of model diagnostic systems using AI methods based on neural networks, fuzzy inference systems and genetic algorithms.;

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Diagnostics of Mechatronic Systems

and by studying examples of model diagnostic systems using AI methods based on neural networks, fuzzy inference systems and genetic algorithms.;

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Gene-Environment Interactions

investigating and evaluating genetic polymorphisms in human populations, as well as the impact of ecogenetics on risk assessment, regulatory policies;

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Bayesian Inference for Gene Expression and Proteomics

and regulatory networks, and Bayesian networks and gene interactions.;

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Bayesian Inference For Gene Expression And Proteomics

and regulatory networks, and Bayesian networks and gene interactions.;

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Evolutionary Computation in Gene Regulatory Network Research

Introducing a handbook for gene regulatory network research using evolutionary computation, with applications for computer scientists;

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Criminal Justice and Regulation Revisited

, and in particular his work developing and adapting regulatory theory to the study of policing and security. Over the past three decades;

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Criminal Justice and Regulation Revisited

, and in particular his work developing and adapting regulatory theory to the study of policing and security. Over the past three decades;

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Algorithms For Analysis, Inference, And Control Of Boolean Networks

The Boolean network (BN) is a mathematical model of genetic networks and other biological networks. Although extensive studies have been;

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Evolutionary Genetics

, is studied under evolutionary genetics. Such changes occur within and between populations. This area of genetic study is under the domain;

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Analysis and Synthesis of Switched Time-Delay Systems

considered in other complex systems, such as neuron networks and genetic regulatory networks, making it a valuable resource for researchers;

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New Hybrid Intelligent Systems for Diagnosis and Risk Evaluation of Arterial Hypertension

combined using fuzzy logic. Finally, two genetic algo-rithms are used to perform the optimization of the modular neural networks parameters and;

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Computational Intelligence Paradigms

neural networks, fuzzy systems, evolutionary computation, genetic algorithms and programming, and swarm intelligence. It covers numerous;

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Computational Intelligence Paradigms

neural networks, fuzzy systems, evolutionary computation, genetic algorithms and programming, and swarm intelligence. It covers numerous;

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