Conferences related to Systems Biology

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2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE


2018 IEEE 14th International Conference on e-Science (e-Science)

The conferences brings together computer and data scientists with domain scientists with data and/or compute intensive research challenges. The conference focusses on the application of computer and data science and related e-infrastructure. The conference will have a computer science track and application tracks, as well as workshops and tutorials on research software.

  • 2017 IEEE 13th International Conference on e-Science (e-Science)

    We consider the term eScience in its broadest meaning – effectively any technical, organisational or cultural aspect of the digital revolution of research is a relevant topic. In short, eScience promotes innovation in collaborative, computationally- or data-intensive research across all disciplines, throughout the research lifecycle.

  • 2016 IEEE 12th International Conference on e-Science (e-Science)

    The Scope of the IEEE 12th International Conference on eScience is to bring domain scientists together with computer scientists to collaborate and explore novel research in Data Intensive Science, Computational Data, Unique Public Data Collections and Databases and other science and engineering topics related to Big Data.

  • 2015 IEEE 11th International Conference on e-Science (e-Science)

    We see environmental computing as an emerging specialty that focuses on discovering these dependencies and producing actionable knowledge by optimally combining different models and data sources. This requires in depth analysis of the various feedback loops in the systems, and – equally importantly – presenting these relationships in a way that can be readily used both in different decision making processes as well as a foundation for further, cross-disciplinary research activities.

  • 2014 IEEE 10th International Conference on e-Science (e-Science)

    The e-Science conference is designed to bring together leading international and interdisciplinary research communities, developers, and users of e-Science applications and enabling IT technologies, serving as a forum to present resent research advances in e-Science and highlight associated activities worldwide.

  • 2012 IEEE 8th International Conference on E-Science (e-Science)

    Scientific research is increasingly carried out by communities of researchers that span disciplines, laboratories, organizations, and national boundaries. The e-Science 2012 conference is designed to bring together leading international and interdisciplinary research communities, developers, and users of e-Science applications and enabling IT technologies. The conference serves as a forum to present the results of the latest research and product/tool developments and to highlight related activities from around the world.

  • 2011 IEEE 7th International Conference on E-Science (e-Science)

    Interdisciplinary research communities, developers, and users of e Science applications and enabling IT technologies. The conference serves as a forum to present the results of the latest research and product/tool developments and to highlight related activities from around the world.

  • 2010 IEEE 6th International Conference on E Science (e-Science)

    This conference is designed to bring together leading international and interdisciplinary research communities, developers, and users of e Science applications and enabling IT technologies. The conference serves as a forum to present the results of the latest research and product/tool developments and to highlight related activities around the world.

  • 2009 5th IEEE International Conference on e-Science (e-Science)

    The e-Science 2009 conference is designed to bring together leading international and interdisciplinary research communities, developers, and users of e-Science applications and enabling IT technologies. The conference serves as a forum to present the results of the latest research and product/tool developments and to highlight related activities from around the world.

  • 2008 4th IEEE International Conference on e-Science and Grid Computing (e-Science)

    These activities involve geographically distributed and heterogeneous resources such as computational systems, scientific instruments, databases, sensors, software components, networks, and people. Such large-scale and enhanced scientific endeavors, popularly known as e-Science, are carried out via collaborations on a global scale. By enabling an Internet-based utility computing infrastructure, grid computing makes e-Science possible. The e-Science 2008 conference is designed to bring together leading in

  • 2007 3rd IEEE International Conference on e-Science and Grid Computing (e-Science)

    E-Science 2007 is an important conference for the international e-Science community as it provides a forum for all e-Science and Grid researchers, developers and users, and those who are just curious to see the project results and become aware of the progress made in this area.

  • 2006 2nd IEEE International Conference on e-Science and Grid Computing (e-Science)

  • 2005 1st IEEE International Conference on e-Science and Grid Computing (e-Science)


2018 IEEE 18th International Conference on Bioinformatics and Bioengineering (BIBE)

The series of BIBE Conferences was initiated in 2000 and is the first of its kind in IEEE inspiringothers to follow its path. The 18th annual IEEE International Conference on Bioinformatics andBioengineering aims at building synergy between Bioinformatics and Bioengineering, twocomplementary disciplines that hold great promise for the advancement of research anddevelopment in complex medical and biological systems, agriculture, environment, publichealth, drug design. Research and development in these two areas are impacting the scienceand technology in fields such as medicine, food production, forensics, etc. by advancingfundamental concepts in molecular biology, by helping us understand living organisms atmultiple levels, by developing innovative implants and bio-prosthetics, and by improving toolsand techniques for the detection, prevention and treatment of diseases.


2018 IEEE Conference on Decision and Control (CDC)

Control systems analysis and design


2018 IEEE International Symposium on Circuits and Systems (ISCAS)

ISCAS is the world’s premier networking and exchange forum for leading researchers in the highly active fields of theory, design and implementation of circuits and systems. ISCAS is the flagship conference of the IEEE Circuits and Systems Society and aim to bring together its multidisciplinary community that has a strong history of cultivating creative, proof-of-concept research in a diverse range of technical domains including analog and digital circuits and systems, nanotechnology, sensors, nonlinear systems, biosystems, neural systems, signal processing, and communications.


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Periodicals related to Systems Biology

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Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It 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, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


Biomedical Circuits and Systems, IEEE Transactions on

The Transactions on Biomedical Circuits and Systems addresses areas at the crossroads of Circuits and Systems and Life Sciences. The main emphasis is on microelectronic issues in a wide range of applications found in life sciences, physical sciences and engineering. The primary goal of the journal is to bridge the unique scientific and technical activities of the Circuits and Systems ...


Biomedical Engineering, IEEE Reviews in

The IEEE Reviews in Biomedical Engineering will review the state-of-the-art and trends in the emerging field of biomedical engineering. This includes scholarly works, ranging from historic and modern development in biomedical engineering to the life sciences and medicine enabled by technologies covered by the various IEEE societies.


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Circuits and Systems I: Regular Papers, IEEE Transactions on

Part I will now contain regular papers focusing on all matters related to fundamental theory, applications, analog and digital signal processing. Part II will report on the latest significant results across all of these topic areas.


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Most published Xplore authors for Systems Biology

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Xplore Articles related to Systems Biology

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Robust Calibration of High Dimension Nonlinear Dynamical Models for Omics Data: An Application in Cancer Systems Biology

[{u'author_order': 1, u'affiliation': u'Department of Engineering, University of Perugia, 06132 Perugia, Italy (e-mail: paolo.valigi@unipg.it).', u'full_name': u'Fortunato Bianconi'}, {u'author_order': 2, u'affiliation': u'Department of Engineering, University of Perugia, 06132 Perugia, Italy.', u'full_name': u'Chiara Antonini'}, {u'author_order': 3, u'affiliation': u'Department of Engineering, University of Perugia, 06132 Perugia, Italy.', u'full_name': u'Lorenzo Tomassoni'}, {u'author_order': 4, u'affiliation': u'Department of Engineering, University of Perugia, 06132 Perugia, Italy.', u'full_name': u'Paolo Valigi'}] IEEE Transactions on Control Systems Technology, None

In computational mathematical modeling of biological systems, most model parameters, such as initial conditions, kinetics, and scale factors, are usually unknown because they cannot be directly measured. Therefore, key issues in system identification of nonlinear systems are model calibration and identifiability analysis. Currently, existing methodologies for parameter estimation are divided in two classes: frequentist and Bayesian methods. The first optimize ...


Evaluation of Parallel Tempering to Accelerate Bayesian Parameter Estimation in Systems Biology

[{u'author_order': 1, u'full_name': u'Sanjana Gupta'}, {u'author_order': 2, u'full_name': u'Liam Hainsworth'}, {u'author_order': 3, u'full_name': u'Justin Hogg'}, {u'author_order': 4, u'full_name': u'Robin Lee'}, {u'author_order': 5, u'full_name': u'James Faeder'}] 2018 26th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP), None

Models of biological systems often have many unknown parameters that must be determined in order for model behavior to match experimental observations. Commonly-used methods for parameter estimation that return point estimates of the best-fit parameters are insufficient when models are high dimensional and under-constrained. As a result, Bayesian methods, which treat model parameters as random variables and attempt to estimate ...


Review of the systems biology of the immune system using agent-based models

[{u'author_order': 1, u'affiliation': u'Visvesvaraya National Institute of Technology, India', u'full_name': u'Snehal B. Shinde'}, {u'author_order': 2, u'affiliation': u'Visvesvaraya National Institute of Technology, India', u'full_name': u'Manish P. Kurhekar'}] IET Systems Biology, 2018

The immune system is an inherent protection system in vertebrate animals including human beings that exhibit properties such as self-organisation, self-adaptation, learning, and recognition. It interacts with the other allied systems such as the gut and lymph nodes. There is a need for immune system modelling to know about its complex internal mechanism, to understand how it maintains the homoeostasis, ...


A systems biology approach for modeling microbiomes using split graphs

[{u'author_order': 1, u'affiliation': u'College of Information Science and Technology, University of Nebraska at Omaha, Omaha, NE 68182, USA', u'full_name': u'Suyeon Kim'}, {u'author_order': 2, u'affiliation': u'College of Information Science and Technology, University of Nebraska at Omaha, Omaha, NE 68182, USA', u'full_name': u'Ishwor Thapa'}, {u'author_order': 3, u'affiliation': u'Department of Biology, University of Nebraska at Omaha, Omah, Ne 68182, USA', u'full_name': u'Guoqing Lu'}, {u'author_order': 4, u'affiliation': u'Department of Biology, University of Nebraska at Omaha, Omah, Ne 68182, USA', u'full_name': u'Lifeng Zhu'}, {u'author_order': 5, u'affiliation': u'College of Information Science and Technology, University of Nebraska at Omaha, Omaha, NE 68182, USA', u'full_name': u'Hesham H Ali'}] 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), None

With the recent advances in sequencing technology, researchers now have opportunities to study microbiomes associated with various environments. Recent studies have shown that the composition of microbiomes in our bodies and our environments play a significant role in our health. For example, 90% of human DNA is composed of bacterial microbiomes. In this study, we propose a systems biology approach ...


The relative importance of data points in systems biology and parameter estimation

[{u'author_order': 1, u'affiliation': u'Electrical and Computer, Engineering, Georgia Institute of Technology, Atlanta, GA, USA', u'full_name': u'Jenny Jeong'}, {u'author_order': 2, u'affiliation': u'Biomedical Engineering, Georgia Institute of Technology, and Emory University, Atlanta, GA, USA', u'full_name': u'Peng Qiu'}] 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), None

Estimating model parameters is a crucial step to understand the behavior of biological systems. To perform parameter estimation, a commonly used formulation is the least square method that minimizes the mean squared error. This method finds the model parameters that minimize the sum of the squared error between experimental data and model predictions. However, such a formulation can misguide parameter ...


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Educational Resources on Systems Biology

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eLearning

No eLearning Articles are currently tagged "Systems Biology"

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
History of Robotics and Automation: Ruzena Bajcsy
EMBC 2011 - Course: Virtual Reality and Robotics in Neurorehabilitation-Judith Deutsch VR and Video Gaming
Yuan-ting Zhang AMA EMBS Individualized Health
From Biology to Robot and Back
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-Ali Khademhosseini

IEEE-USA E-Books

  • 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

  • Systems Biology Thought Experiments in Human Genetics Using Artificial Life and Grammatical Evolution

    A goal of systems biology and human genetics is to understand how DNA sequence variations impact human health through a hierarchy of biochemical, metabolic, and physiological systems. We present here a proof-of-principle study that demonstrates how artificial life in the form of agent-based simulation can be used to generate hypothetical systems biology models that are consistent with pre-defined genetic models of disease susceptibility. Here, an evolutionary computing strategy called grammatical evolution is utilized to discover artificial life models. The goal of these studies is to perform thought experiments about the nature of complex biological systems that are consistent with genetic models of disease susceptibility. It is anticipated that the utility of this approach will be the generation of biological hypotheses that can then be tested using experimental systems.

  • 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

  • Computational Constraints on Modeling in Systems Biology

    This chapter contains section titled: 15.1 Introduction, 15.2 Algorithms, 15.3 Sorting, 15.4 Dynamic Programming, 15.5 Graphs, 15.6 Search, 15.7 Identification, Simulation and Optimization of Dynamical Models, 15.8 Summary

  • 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

  • Biomedical Applications

    The Crick¿¿¿Watson discovery injected into biology a reductionist paradigm, whereby subsequent scientific progress was gauged by describing the smallest bits possible, usually one at a time¿¿¿one stretch of DNA, one RNA, and one protein. Since the research community is often ahead of the curve by virtue of its focus on devices that may be years away from commercial realization, it is also valuable to get a market perspective on medical applications of radiofrequency (RF)/microwave devices. For medical applications, the need to get the medical device approved by the Food and Drug Administration (FDA) in the US or by a similar regulatory agency in other countries adds to the complexity of the RF/microwave biomedical device market. Pacemakers and implantable cardioverter defibrillators (ICDs) are routinely implanted in US patients, saving and prolonging many lives by helping regulate cardiac function.

  • Networks in Biology

    This chapter contains sections titled: Introduction Biology 101 Systems Biology Properties of Biological Networks Summary Exercises References

  • Interactive GPU-based Visualization of Large Dynamic Particle Data

    <p>Prevalent types of data in scientific visualization are volumetric data, vector field data, and particle-based data. Particle data typically originates from measurements and simulations in various fields, such as life sciences or physics. The particles are often visualized directly, that is, by simple representants like spheres. Interactive rendering facilitates the exploration and visual analysis of the data. With increasing data set sizes in terms of particle numbers, interactive high-quality visualization is a challenging task. This is especially true for dynamic data or abstract representations that are based on the raw particle data. </p><p>This book covers direct particle visualization using simple glyphs as well as abstractions that are application-driven such as clustering and aggregation. It targets visualization researchers and developers who are interested in visualization techniques for large, dynamic particle-based data. Its explanations focus o GPU-accelerated algorithms for high-performance rendering and data processing that run in real-time on modern desktop hardware. Consequently, the implementation of said algorithms and the required data structures to make use of the capabilities of modern graphics APIs are discussed in detail. Furthermore, it covers GPU-accelerated methods for the generation of application-dependent abstract representations. This includes various representations commonly used in application areas such as structural biology, systems biology, thermodynamics, and astrophysics.</p>

  • 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.

  • Introduction

    This chapter contains sections titled: Structure and Complexity, Connectomics and Systems Biology, Networks of the Brain, An "ome" for Neuroscience



Standards related to Systems Biology

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Jobs related to Systems Biology

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