Conferences related to Systems Biology

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2016 IEEE 55th IEEE Conference on Decision and Control (CDC)

The CDC is recognized as the premier scientific and engineering conference dedicated to the advancement of the theory and practice of systems and control. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, automatic control, and related areas.

  • 2014 IEEE 53rd Annual Conference on Decision and Control (CDC)

    Largest annual conference in control theory and its applications. Areas covered all applied math, communication, control, aerospace, biology, etc.

  • 2013 IEEE 52nd Annual Conference on Decision and Control (CDC)

    The 52nd IEEE Conference on Decision and Control will be held Tuesday through Friday, December 10-13, 2013 at the Congress Centre in Firenze, Italy. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss the latest advancements of the discipline, shape its future directions, and promote its diffusion among the scientific community at large. The 52nd CDC will feature the presentation of contributed and invited papers, as well as tutorial sessions and workshops. The CDC is hosted by the IEEE Control Systems Society (CSS), and is organized in cooperation with the Society for Industrial and Applied Mathematics (SIAM), the Institute for Operations Research and the Management Sciences (INFORMS), the Japanese Society for Instrument and Control Engineers (SICE), and the European Union Control Association (EUCA).

  • 2012 IEEE 51st Annual Conference on Decision and Control (CDC)

    The conference discusses advances in theory, design and application of control systems. Papers will highlight the latest knowledge, exploratory developments, and practical applications in all aspects of the control systems from analysis and design through simulation and hardware. Its scope shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organiz

  • 2011 50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC 2011)

    This conference is dedicated to the advancement of the theory and practice of systems and control, bringing together an international community of researchers and practitioners to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, automatic control, and related areas.

  • 2010 49th IEEE Conference on Decision and Control (CDC)

    Theory and applications of control theory and control systems technology

  • 2009 Joint 48th IEEE Conference on Decision and Control (CDC) and 28th Chinese Control Conference (CCC)

    This conference is dedicated to the advancement of the theory and practice of systems and control, bringing together an international community of researchers and practitioners to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, automatic control, and related areas.


2013 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS)

The 2013 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS’13) will be held in Houston, TX during November 17-19, 2013. GENSIPS’13 will provide a forum for signal processing researchers, bioinformaticians, computational biologists, biomedical engineers, and biostatisticians to exchange ideas and discuss the challenges confronting computational bioinformatics and systems biology communities due to the high modality of disparate high-throughput data, high variability of data acquisition, high dimensionality of biomedical data, and high complexity of genomics and proteomics.

  • 2012 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS)

    Computational bioinformatics and systems biology communities due to the high modality of disparate high-throughput data, high variability of data acquisition, high dimensionality of biomedical data, and high complexity of genomics and proteomics. The theme of GENSIPS 12 is Methods in Next-Generation Sequencing and Cancer Systems Biology and GENSIPS will feature prominent plenary speakers including John Quackenbush of Harvard University, Victor Velculescu of Johns Hopkins University, Eberhard Voit of Georgia Tech, Jinghui Zhang of St. Jude Children's Research Hospital, as well as special sessions in cancer research.

  • 2011 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS)

    To address the computational issues in the emerging field of computational genomics and proteomics, and to improve participation from not only within SP but computer science, statistics and biomedical communities. There are several advantages of hosting GENSIPS in San Antonio, which will help advance our goals.

  • 2010 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS)

    Recent advances in genomic studies have stimulated synergistic research in many cross - disciplinary areas. Genomic data presents enormous challenges for signal processing and statistics, which has led to the development of the new field of Genomic Signal Processing (GSP). The seventh IEEE International Workshop on Genomic Signal Processing and Statistics will provide an international scientific forum devoted to the area of GSP and its applications in system biology and medicine.

  • 2009 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS)

    Recent advances in genomic studies have stimulated synergistic research in many cross-disciplinary areas. Genomic data presents enormous challenges for signal processing and statistics, which has led to the development of the new field of Genomic Signal Processing (GSP). The seventh IEEE International Workshop on Genomic Signal Processing and Statistics will provide an international scientific forum devoted to the area of GSP and its applications in system biology and medicine. The aim of the workshop is to


2012 24th Chinese Control and Decision Conference (CCDC)

Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.


2012 46th Annual Conference on Information Sciences and Systems (CISS)

Theoretical advances, applications and ideas in the fields of information theory (including application to biological sciences); communication, networking, signal, image and video processing; systems and control; learning and statistical inference.


2012 5th International Conference on Biomedical Engineering and Informatics (BMEI)

BMEI is a premier international forum for scientists and researchers to present the state of the art of biomedical engineering and informatics. Specific topics include Biomedical imaging and visualization; Biomedical signal processing and analysis; etc.

  • 2011 4th International Conference on Biomedical Engineering and Informatics (BMEI)

    CISP 11-BMEI 11 is a premier international forum for scientists and researchers to present the state of the art of biomedical engineering and informatics. Specific topics include Biomedical imaging and visualization; Biomedical signal processing and analysis; Biomedical instrumentation, devices, sensors, artificial organs, and nano technologies; Rehabilitation engineering; bioinformatics and medical informatics, etc.

  • 2010 3rd International Conference on Biomedical Engineering and Informatics (BMEI)

    BMEI 10 is a premier international forum for scientists and researchers to present the state of the art of biomedical engineering and biomedical informatics. It is co-located with the 3rd International Congress on Image and Signal Processing (CISP 2010) to promote interactions biomedical research and signal processing.


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Periodicals related to Systems Biology

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Computational Biology and Bioinformatics, IEEE/ACM Transactions on

Specific topics of interest include, but are not limited to, sequence analysis, comparison and alignment methods; motif, gene and signal recognition; molecular evolution; phylogenetics and phylogenomics; determination or prediction of the structure of RNA and Protein in two and three dimensions; DNA twisting and folding; gene expression and gene regulatory networks; deduction of metabolic pathways; micro-array design and analysis; proteomics; ...


Intelligent Systems, IEEE

IEEE Intelligent Systems, a bimonthly publication of the IEEE Computer Society, provides peer-reviewed, cutting-edge articles on the theory and applications of systems that perceive, reason, learn, and act intelligently. The editorial staff collaborates with authors to produce technically accurate, timely, useful, and readable articles as part of a consistent and consistently valuable editorial product. The magazine serves software engineers, systems ...


Nanobioscience, IEEE Transactions on

Basic and applied papers dealing both with engineering, physics, chemistry, and computer science and with biology and medicine with respect to bio-molecules and cells. The content of acceptable papers ranges from practical/clinical/environmental applications to formalized mathematical theory. TAB #73-June 2001. (Original name-IEEE Transactions on Molecular Cellular and Tissue Engineering). T-NB publishes basic and applied research papers dealing with the study ...




Xplore Articles related to Systems Biology

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Control and coordination in biochemical networks - Introduction to the special section on systems biology

O. Wolkenhauer; B. K. Ghosh; Kwang-Hyun Cho IEEE Control Systems, 2004

First Page of the Article ![](/xploreAssets/images/absImages/01316651.png)


Interaction Motifs in Regulatory Networks and Structural Robustness

Adrien Elena; Jacques Demongeot 2008 International Conference on Complex, Intelligent and Software Intensive Systems, 2008

If we consider the regulatory networks used in systems biology, we observe certain regularities in their architecture, namely the occurrence of interaction motifs, i.e. of oriented sub-graphs relating their elements with the same interaction scheme. We propose to describe some of these universal motifs and to study their main dynamical properties especially concerning their robustness (called also structural stability), i.e. ...


Biomolecular implementation of linear I/O systems

K. Oishi; E. Klavins IET Systems Biology, 2011

Linear I/O systems are a fundamental tool in systems theory, and have been used to design complex circuits and control systems in a variety of settings. Here we present a principled design method for implementing arbitrary linear I/O systems with biochemical reactions. This method relies on two levels of abstraction: first, an implementation of linear I/O systems using idealised chemical ...


Feature - Circuits and systems for high-throughput biology

C. Nardini; L. Benini; G. De Micheli IEEE Circuits and Systems Magazine, 2006

High-throughput biological data acquisition and processing technologies have shifted the focus of biological research from the realm of traditional experimental science (wet biology) to that of information science (in silico biology). Powerful computation and communication means can be applied to the very large amount of apparently incoherent data coming from biomedical research. Part of the experiments and tests that we ...


Slowed propagation across the compacta-trabeculata interface: A consequence of fiber and sheet anisotropy

Stephen H. Gilbert; Alan P. Benson; Richard D. Walton; Olivier Bernus 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Transmural myocardial activation is influenced by myocardial structure, including structural differences between the compacta (Cta) and the trabeculata (Tta), although this has not been fully explained. Hearts from rats were Langendorff perfused, stained with DI-4-ANEPPS, the apex was cut off and fluorescence acquired from the exposed short-axis surface. The hearts were stimulated at 160 ms cycle length at the anterior, ...


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Educational Resources on Systems Biology

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eLearning

Control and coordination in biochemical networks - Introduction to the special section on systems biology

O. Wolkenhauer; B. K. Ghosh; Kwang-Hyun Cho IEEE Control Systems, 2004

First Page of the Article ![](/xploreAssets/images/absImages/01316651.png)


Interaction Motifs in Regulatory Networks and Structural Robustness

Adrien Elena; Jacques Demongeot 2008 International Conference on Complex, Intelligent and Software Intensive Systems, 2008

If we consider the regulatory networks used in systems biology, we observe certain regularities in their architecture, namely the occurrence of interaction motifs, i.e. of oriented sub-graphs relating their elements with the same interaction scheme. We propose to describe some of these universal motifs and to study their main dynamical properties especially concerning their robustness (called also structural stability), i.e. ...


Biomolecular implementation of linear I/O systems

K. Oishi; E. Klavins IET Systems Biology, 2011

Linear I/O systems are a fundamental tool in systems theory, and have been used to design complex circuits and control systems in a variety of settings. Here we present a principled design method for implementing arbitrary linear I/O systems with biochemical reactions. This method relies on two levels of abstraction: first, an implementation of linear I/O systems using idealised chemical ...


Feature - Circuits and systems for high-throughput biology

C. Nardini; L. Benini; G. De Micheli IEEE Circuits and Systems Magazine, 2006

High-throughput biological data acquisition and processing technologies have shifted the focus of biological research from the realm of traditional experimental science (wet biology) to that of information science (in silico biology). Powerful computation and communication means can be applied to the very large amount of apparently incoherent data coming from biomedical research. Part of the experiments and tests that we ...


Slowed propagation across the compacta-trabeculata interface: A consequence of fiber and sheet anisotropy

Stephen H. Gilbert; Alan P. Benson; Richard D. Walton; Olivier Bernus 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Transmural myocardial activation is influenced by myocardial structure, including structural differences between the compacta (Cta) and the trabeculata (Tta), although this has not been fully explained. Hearts from rats were Langendorff perfused, stained with DI-4-ANEPPS, the apex was cut off and fluorescence acquired from the exposed short-axis surface. The hearts were stimulated at 160 ms cycle length at the anterior, ...


More eLearning Resources

IEEE.tv Videos

EMBC 2011-Program-Systems in Synthetic Biology (Part I)-Pamela A. Silver
EMBC 2011-Program-Systems in Synthetic Biology (Part I)-Bruce Tidor
EMBC 2011-Workshop- Biological Micro Electro Mechanical Systems (BioMEMS): Fundamentals and Applications-Ali Khademhosseini
EMBC 2011-Workshop- Biological Micro Electro Mechanical Systems (BioMEMS): Fundamentals and Applications-Utkan Demirci
EMBC 2011-Keynote Lecture-Engineering Drug Dosing in Dynamic Biological Systems - David J. Balaban
EMBC 2011-Workshop- Biological Micro Electro Mechanical Systems (BioMEMS): Fundamentals and Applications-Mehmet R. Dokmeci
EMBC 2011-Workshop-Biological Micro Electro Mechanical Systems (BioMEMS): Fundamentals and Applications-Michelle Khine
IMS 2015 Keynote: The Century of Biology is Great for Engineering
Robotics History: Narratives and Networks Oral Histories: Ruzena Bajcsy
EMBC 2011-Keynote Lectures and Panel Discussion-PT IV-Discussion
EMBC 2011 - Course: Virtual Reality and Robotics in Neurorehabilitation-Sergei Adamovich, PhD
EMBC 2011 - Course: Virtual Reality and Robotics in Neurorehabilitation-Judith Deutsch VR and Video Gaming
Yuan-ting Zhang AMA EMBS Individualized Health
Sensors and Measurement: Inspirations from Nature - Tutorial by Gourab Sen Gupta
ICASSP 2010 - Advances in Neural Engineering
Engineering Our Future - Q and A with Panel
Mayo Clinic Motion Lab
EMBC 2011-Workshop-Nanobiomaterials-Ehsan Jabbarzadeh
Norbert Wiener in the 21st Century Conference Concept
EMBC 2011-Workshop-Nanobiomaterials-Ali Khademhosseini

IEEE-USA E-Books

  • References

    Research in systems biology requires the collaboration of researchers from diverse backgrounds, including biology, computer science, mathematics, statistics, physics, and biochemistry. These collaborations, necessary because of the enormous breadth of background needed for research in this field, can be hindered by differing understandings of the limitations and applicability of techniques and concerns from different disciplines. This comprehensive introduction and overview of system modeling in biology makes the relevant background material from all pertinent fields accessible to researchers with different backgrounds.The emerging area of systems level modeling in cellular biology has lacked a critical and thorough overview. This book fills that gap. It is the first to provide the necessary critical comparison of concepts and approaches, with an emphasis on their possible applications. It presents key concepts and their theoretical background, including the concepts of robustness and modularity and their exploitation to study biological systems; the best-known modeling approaches, and their advantages and disadvantages; lessons from the application of mathematical models to the study of cellular biology; and available modeling tools and datasets, along with their computational limitations.

  • Contributors

    Research in systems biology requires the collaboration of researchers from diverse backgrounds, including biology, computer science, mathematics, statistics, physics, and biochemistry. These collaborations, necessary because of the enormous breadth of background needed for research in this field, can be hindered by differing understandings of the limitations and applicability of techniques and concerns from different disciplines. This comprehensive introduction and overview of system modeling in biology makes the relevant background material from all pertinent fields accessible to researchers with different backgrounds.The emerging area of systems level modeling in cellular biology has lacked a critical and thorough overview. This book fills that gap. It is the first to provide the necessary critical comparison of concepts and approaches, with an emphasis on their possible applications. It presents key concepts and their theoretical background, including the concepts of robustness and modularity and their exploitation to study biological systems; the best-known modeling approaches, and their advantages and disadvantages; lessons from the application of mathematical models to the study of cellular biology; and available modeling tools and datasets, along with their computational limitations.

  • Index

    Research in systems biology requires the collaboration of researchers from diverse backgrounds, including biology, computer science, mathematics, statistics, physics, and biochemistry. These collaborations, necessary because of the enormous breadth of background needed for research in this field, can be hindered by differing understandings of the limitations and applicability of techniques and concerns from different disciplines. This comprehensive introduction and overview of system modeling in biology makes the relevant background material from all pertinent fields accessible to researchers with different backgrounds.The emerging area of systems level modeling in cellular biology has lacked a critical and thorough overview. This book fills that gap. It is the first to provide the necessary critical comparison of concepts and approaches, with an emphasis on their possible applications. It presents key concepts and their theoretical background, including the concepts of robustness and modularity and their exploitation to study biological systems; the best-known modeling approaches, and their advantages and disadvantages; lessons from the application of mathematical models to the study of cellular biology; and available modeling tools and datasets, along with their computational limitations.

  • General Concepts

    Research in systems biology requires the collaboration of researchers from diverse backgrounds, including biology, computer science, mathematics, statistics, physics, and biochemistry. These collaborations, necessary because of the enormous breadth of background needed for research in this field, can be hindered by differing understandings of the limitations and applicability of techniques and concerns from different disciplines. This comprehensive introduction and overview of system modeling in biology makes the relevant background material from all pertinent fields accessible to researchers with different backgrounds.The emerging area of systems level modeling in cellular biology has lacked a critical and thorough overview. This book fills that gap. It is the first to provide the necessary critical comparison of concepts and approaches, with an emphasis on their possible applications. It presents key concepts and their theoretical background, including the concepts of robustness and modularity and their exploitation to study biological systems; the best-known modeling approaches, and their advantages and disadvantages; lessons from the application of mathematical models to the study of cellular biology; and available modeling tools and datasets, along with their computational limitations.

  • Multilevel Modeling in Systems Biology: From Cells to Whole Organs

    This chapter contains section titled: 14.1 Introduction: The Philosophy of Multilevel Simulation, 14.2 Cellular Models of the Heart, 14.3 Connecting to Ion Pumps and Calcium Cycling, 14.4 Linking to the Genetic Level, 14.5 Linking to Biochemistry: Counterintuitive Predictions, 14.6 Linking to Pharmacology: Assessing and Predicting Drug Actions, 14.7 Linking to Tissues and Organs, 14.8 Coronary Circulation, 14.9 The Future: From Genome to Proteome to Physiome, Acknowledgments

  • The Challenges of Systems Biology

    This chapter contains sections titled: 1 Genomics, Gene Expression, and Next- Generation Sequencing, 2 Metabolic Network Reconstruction, 3 Computational Models of Gene Translation, 4 Reverse Engineering of Cellular Networks, 5 Outlook, Note, References

  • The Role of Modeling in Systems Biology

    This chapter contains sections titled: 1.1 Philosophical Overview, 1.2 Historical Context, 1.3 The Purposes and Implications of Modeling, 1.4 Different Kinds of Models, 1.5 Sensitivity Analysis1.6 Concluding Remarks, Acknowledgments

  • Analyzing Gene Expression Imaging Data in Developmental Biology

    This chapter describes the application of data-intensive methods to the automatic identification and annotation of gene expression patterns in the mouse embryo. The first section of the chapter introduces ideas behind modern computational and systems biology, how the explosion of data in the postgenomic world has led to new possibilities and even greater challenges. The second section talks about the particular computational biology problem and describes annotating images of gene expression with the right anatomical terms in depth. An automated solution based on data-intensive methods is discussed the third section. The final section looks ahead to the biological significance and systems biology application of these approaches and also describes a large-scale challenge and possible series of experiments with a novel data-intensive computational architecture.

  • Computational Modeling

    Research in systems biology requires the collaboration of researchers from diverse backgrounds, including biology, computer science, mathematics, statistics, physics, and biochemistry. These collaborations, necessary because of the enormous breadth of background needed for research in this field, can be hindered by differing understandings of the limitations and applicability of techniques and concerns from different disciplines. This comprehensive introduction and overview of system modeling in biology makes the relevant background material from all pertinent fields accessible to researchers with different backgrounds.The emerging area of systems level modeling in cellular biology has lacked a critical and thorough overview. This book fills that gap. It is the first to provide the necessary critical comparison of concepts and approaches, with an emphasis on their possible applications. It presents key concepts and their theoretical background, including the concepts of robustness and modularity and their exploitation to study biological systems; the best-known modeling approaches, and their advantages and disadvantages; lessons from the application of mathematical models to the study of cellular biology; and available modeling tools and datasets, along with their computational limitations.

  • On Modules and Modularity

    This chapter contains sections titled: 3.1 Introduction, 3.2 The Concept of Modules in Other Biological Disciplines, 3.3 The Concept of Modularity in Systems Biology, 3.4 Definition of Modules for Dynamic Networks, 3.5 Conclusions



Standards related to Systems Biology

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Jobs related to Systems Biology

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