Gene expression

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Gene expression is the process by which information from a gene is used in the synthesis of a functional gene product. (Wikipedia.org)






Conferences related to Gene expression

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2018 25th IEEE International Conference on Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE Signal Processing Society, is the premier forum for the presentation of technological advances and research results in the fields of theoretical, experimental, and applied image and video processing. ICIP 2018, the 25th in the series that has been held annually since 1994, brings together leading engineers and scientists in image and video processing from around the world.


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 41st International Conference on Telecommunications and Signal Processing (TSP)

The TSP 2018 Conference is organized by seventeen universities from Czech Rep., Hungary, Turkey, Taiwan, Japan, Slovak Rep., Spain, Bulgaria, France, Slovenia, Croatia, Greece, and Poland, for academics, researchers, and developers and it serves as a premier annual international forum to promote the exchange of the latest advances in telecommunication technology and signal processing. The aim of the conference is to bring together both novice and experienced scientists, developers, and specialists, to meet new colleagues, collect new ideas, and establish new cooperation between research groups from universities, research centers, and private sectors from the whole Europe, America, Asia, Australia, and Africa. The international expansion motivates the organizers in their effort to providing a platform for exchanging information and experience to help to improve the level and extent of scientific cooperation between university students, academics, and employees of research centers.

  • 2017 40th International Conference on Telecommunications and Signal Processing (TSP)

    The TSP 2017 Conference is organized by fifteen universities from Czech Republic, Hungary, Turkey, Taiwan, Japan, Slovak Republic, Spain, Bulgaria, France, Slovenia, Croatia, and Poland, for academics, researchers, and developers and it serves as a premier annual international forum to promote the exchange of the latest advances in telecommunication technology and signal processing. The aim of the conference is to bring together both novice and experienced scientists, developers, and specialists, to meet new colleagues, collect new ideas, and establish new cooperation between research groups from universities, research centers, and private sectors from the whole Europe, America, Asia, Australia, and Africa. The international expansion motivates the organizers in their effort to providing a platform for exchanging information and experience to help to improve the level and extent of scientific cooperation between university students, academics, and employees of research centers.

  • 2016 39th International Conference on Telecommunications and Signal Processing (TSP)

    The 2016 39th International Conference on Telecommunications and Signal Processing (TSP) is organized for academics, researchers, and developers and it serves as a forum to promote the exchange of the latest advances in telecommunication technology and signal processing. The aim of the conference is to bring together both novice and experienced scientists, developers, and specialists, to meet new colleagues, collect new ideas, and establish new cooperation between research groups from universities, research centers, and private sectors from the whole Europe, America, Asia, Australia, and Africa. The international expansion motivates the organizers in their effort to providing a platform for exchanging information and experience to help to improve the level and extent of scientific cooperation between university students, academics, and employees of research centers.

  • 2015 38th International Conference on Telecommunications and Signal Processing (TSP)

    The 2015 38th International Conference on Telecommunications and Signal Processing (TSP) is organized for academics, researchers, and developers and it serves as a forum to promote the exchange of the latest advances in telecommunication technology and signal processing. The aim of the conference is to bring together both novice and experienced scientists, developers, and specialists, to meet new colleagues, collect new ideas, and establish new cooperation between research groups from universities, research centers, and private sectors from the whole Europe, America, Asia, Australia, and Africa. The international expansion motivates the organizers in their effort to providing a platform for exchanging information and experience to help to improve the level and extent of scientific cooperation between university students, academics, and employees of research centers.

  • 2013 36th International Conference on Telecommunications and Signal Processing (TSP)

    The TSP 2013 conference is organized for, but not limited to, young academics, researchers and developers from different branches of telecommunication technology and signal processing. The aim of the conference is to bring together both novice and experienced scientists and developers, to meet new colleagues, collect new ideas and establish new cooperation between research groups. The conference originally started as a Central European initiative but recently we have had participants from Universities and Research Centers from the whole Europe and also from Asia, America and Africa.

  • 2012 35th International Conference on Telecommunications and Signal Processing (TSP)

    The TSP 2012 conference is organized for young academics, researchers and developers from different branches of telecommunication technology and signal processing.

  • 2011 34th International Conference on Telecommunications and Signal Processing (TSP)

    The TSP 2011 conference is organized for, but not limited to, young academics, researchers and developers from different branches of telecommunication technology and signal processing. The aim of the conference is to bring together both novice and experienced scientists and developers, to meet new colleagues, collect new ideas and establish new cooperation between research groups. The conference originally started as a Central European initiative but recently we have had participants from Universities and Research Centers from the whole Europe and also from Asia, America and Africa.


2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (SAM)

The SAM Workshop is an biennial IEEE Signal Processing Society event dedicated to sensor array and multichannel signal processing. It is managed by the Sensor Array and Multichannel Signal Processing Technical Committee of the IEEE Signal Processing Society.


2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)

The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2018 will be the 15th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2018 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging.ISBI 2019 will be the 16th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2019 meeting will continue this tradition of fostering cross fertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2017 will be the 14th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2017 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI 2016)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forumfor the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2016 willbe the thirteenth meeting in this series. The previous meetings have played a leading role in facilitatinginteraction between researchers in medical and biological imaging. The 2016 meeting will continue thistradition of fostering crossfertilization among different imaging communities and contributing to an integrativeapproach to biomedical imaging across all scales of observation.

  • 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI 2015)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2015 will be the 12th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2014 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI 2014)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2014 will be the eleventh meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2014 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2013 IEEE 10th International Symposium on Biomedical Imaging (ISBI 2013)

    To serve the biological, biomedical, bioengineering, bioimaging and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2012 IEEE 9th International Symposium on Biomedical Imaging (ISBI 2012)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2011 IEEE 8th International Symposium on Biomedical Imaging (ISBI 2011)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2010 IEEE 7th International Symposium on Biomedical Imaging (ISBI 2010)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2009 IEEE 6th International Symposium on Biomedical Imaging (ISBI 2009)

    Algorithmic, mathematical and computational aspects of biomedical imaging, from nano- to macroscale. Topics of interest include image formation and reconstruction, computational and statistical image processing and analysis, dynamic imaging, visualization, image quality assessment, and physical, biological and statistical modeling. Molecular, cellular, anatomical and functional imaging modalities and applications.

  • 2008 IEEE 5th International Symposium on Biomedical Imaging (ISBI 2008)

    Algorithmic, mathematical and computational aspects of biomedical imaging, from nano- to macroscale. Topics of interest include image formation and reconstruction, computational and statistical image processing and analysis, dynamic imaging, visualization, image quality assessment, and physical, biological and statistical modeling. Molecular, cellular, anatomical and functional imaging modalities and applications.

  • 2007 IEEE 4th International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2007)

  • 2006 IEEE 3rd International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2006)

  • 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2004)

  • 2002 1st IEEE International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2002)


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Periodicals related to Gene expression

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Antennas and Propagation, IEEE Transactions on

Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.


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.


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; ...


Computer

Computer, the flagship publication of the IEEE Computer Society, publishes peer-reviewed technical content that covers all aspects of computer science, computer engineering, technology, and applications. Computer is a resource that practitioners, researchers, and managers can rely on to provide timely information about current research developments, trends, best practices, and changes in the profession.


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Most published Xplore authors for Gene expression

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Xplore Articles related to Gene expression

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A new criterion to select discriminatory gene pairs for Alzheimer's disease

[{u'author_order': 1, u'affiliation': u"Systems Engineering Institute, School of Electronic and Information Engineering, Xi'an Jiaotong University, Xianning Road, 710049 Xian, China", u'full_name': u'Jia Lv'}, {u'author_order': 2, u'affiliation': u"Systems Engineering Institute, School of Electronic and Information Engineering, Xi'an Jiaotong University, Xianning Road, 710049 Xian, China", u'full_name': u'Qinke Peng'}, {u'author_order': 3, u'affiliation': u"Systems Engineering Institute, School of Electronic and Information Engineering, Xi'an Jiaotong University, Xianning Road, 710049 Xian, China", u'full_name': u'Zhi Sun'}] 2016 IEEE Biomedical Circuits and Systems Conference (BioCAS), None

Alzheimer's disease (AD), which is the most common dementia, has become a critical social and medical problem. High throughput microarray technology make it feasible to have a view at the molecular level. Identifying potential genes at the molecular level which are discriminatory in AD affected versus healthy controls will greatly help understand the pathogenesis of AD as well as the ...


Evaluation of Design Strategies for Time Course Experiments in Genetic Networks: Case Study of the XlnR Regulon in Aspergillus niger

[{u'author_order': 1, u'affiliation': u'Wageningen University, Wageningen', u'full_name': u'Jimmy Omony'}, {u'author_order': 2, u'affiliation': u'TU Vienna, Vienna', u'full_name': u'Astrid R. Mach-Aigner'}, {u'author_order': 3, u'affiliation': u'Wageningen University, Wageningen', u'full_name': u'Leo H. de Graaff'}, {u'author_order': 4, u'affiliation': u'Wageningen University, Wageningen', u'full_name': u'Gerrit van Straten'}, {u'author_order': 5, u'affiliation': u'Wageningen University, Wageningen', u'full_name': u'Anton J. B. van Boxtel'}] IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2012

One of the challenges in genetic network reconstruction is finding experimental designs that maximize the information content in a data set. In this paper, the information value of mRNA transcription time course experiments was used to compare experimental designs. The study concerns the dynamic response of genes in the XlnR regulon of Aspergillus niger, with the goal to find the ...


Ribosome binding model using a codebook and exponential metric

[{u'author_order': 1, u'affiliation': u'Department of Electrical & Computer Engineering, Illinois Institute of Technology, Chicago, 60616, USA', u'full_name': u'Mohammad Al Bataineh'}, {u'author_order': 2, u'affiliation': u'Department of Electrical & Computer Engineering, Illinois Institute of Technology, Chicago, 60616, USA', u'full_name': u'Maria Alonso'}, {u'author_order': 3, u'affiliation': u'Department of Biological, Chemical, Physical Sciences, Illinois Institute of Technology and National Center for Food Safety and Technology, Chicago, 60616, USA', u'full_name': u'Siyun Wang'}, {u'author_order': 4, u'affiliation': u'Department of Biological, Chemical, Physical Sciences, Illinois Institute of Technology and National Center for Food Safety and Technology, Chicago, 60616, USA', u'full_name': u'Wei Zhang'}, {u'author_order': 5, u'affiliation': u'Department of Electrical & Computer Engineering, Illinois Institute of Technology, Chicago, 60616, USA', u'full_name': u'Guillermo Atkin'}] 2007 IEEE International Conference on Electro/Information Technology, None

A model based on a variable length codebook and a metric is used to model the process of translation in gene expression. In this model it is assumed the ribosome decodes the mRNA sequence by using the 3'end of the 16SrRNA molecule as an embedded codebook. The metric uses an exponential algorithm to recognize the Shine Dalgarno (SD) sequence that ...


A Fuzzy Approach for Analyzing Outliers in Gene Expression Data

[{u'author_order': 1, u'affiliation': u'Electr. & Comput. Eng. Dept, Univ. of Waterloo, Waterloo, ON', u'full_name': u'Noha A. Yousri'}, {u'author_order': 2, u'affiliation': u'Electr. & Comput. Eng. Dept, Univ. of Waterloo, Waterloo, ON', u'full_name': u'Mohamed S. Kamel'}, {u'author_order': 3, u'full_name': u'Mohamed A. Ismail'}] 2008 International Conference on BioMedical Engineering and Informatics, None

Outlier gene expression patterns identify abnormal gene behavior, possibly indicating the deviation in gene function for certain tumor types. It may also reveal novel gene-tumor relations, as well as novel tumor types. This is important in designing drugs for tumors as well as in studying the functional relations between genes. Apart from identifying outliers, associating outliers to the clusters in ...


Gene selection using 1-norm regularization for multi-class microarray data

[{u'author_order': 1, u'affiliation': u'The University of Mississippi, USA', u'full_name': u'Xiaofei Nan'}, {u'author_order': 2, u'affiliation': u'The University of Southern Mississippi, USA', u'full_name': u'Nan Wang'}, {u'author_order': 3, u'affiliation': u'SpecPro Inc., Environmental Services, USA', u'full_name': u'Ping Gong'}, {u'author_order': 4, u'affiliation': u'The University of Southern Mississippi, USA', u'full_name': u'Chaoyang Zhang'}, {u'author_order': 5, u'affiliation': u'The University of Mississippi, USA', u'full_name': u'Yixin Chen'}, {u'author_order': 6, u'affiliation': u'The University of Mississippi, USA', u'full_name': u'Dawn Wilkins'}] 2010 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), None

Explosive compounds such as TNT and RDX have various toxicological effects on the natural environment. The goal of the earthworm microarray experiment is to unearth the biomarker for toxicity evaluation. We propose a novel recursive gene selection method which can handle the multi-class setting effectively and efficiently. The selection is performed iteratively. In each iteration, a linear multi-class classifier is ...


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Educational Resources on Gene expression

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eLearning

No eLearning Articles are currently tagged "Gene expression"

IEEE-USA E-Books

  • Clustering Functionally Similar Genes from Microarray Data

    This chapter deals with the application of different rough-fuzzy clustering algorithms for clustering functionally similar genes from microarray gene expression data sets. The effectiveness of the algorithms, along with a comparison with other related gene clustering algorithms, is demonstrated on a set of microarray gene expression data sets using some standard validity indices. The chapter first reports a brief overview of different gene clustering algorithms. It then describes several quantitative and qualitative performance measures such as Silhouette index, Eisen and cluster profile plots, Z score, gene-ontology-based analysis to evaluate the quality of gene clusters. The chapter presents a brief description of different microarray gene expression data sets such as fifteen yeast data, yeast sporulation, Auble data, Cho et al. data, and reduced cell cycle data. It also presents implementation details, experimental results, and a comparison among different algorithms. fuzzy set theory; pattern clustering; performance evaluation; rough set theory

  • Selection of Discriminative Genes from Microarray Data

    This chapter establishes the effectiveness of the fuzzy equivalence partition matrix (FEPM) for the problem of gene selection from microarray data and compares its performance with some existing methods on a set of microarray gene expression data sets. It first briefly introduces various evaluation criteria used for computing both the relevance and redundancy of the genes. To measure both gene-class relevance and gene-gene redundancy using information theoretic measures such as entropy, mutual information, and f-information measures, the true density functions of continuous-valued genes have to be approximated. The chapter presents several approaches to approximate the true probability density function for continuous-valued gene expression data. It then describes the problem of gene selection from microarray data sets using information theoretic approaches. Finally, the chapter reports a few case studies and a comparison among different approximation methods. fuzzy logic; numerical analysis; probability density function

  • A Topology-Aware Evolutionary Algorithm for Reverse-Engineering Gene Regulatory Networks

    This chapter is concerned with modeling and simulating the dynamics of gene regulatory networks (GRNs). It explains the process of reverse-engineering GRNs from time-series gene expression data sets. The idea is to discover an optimal set of parameters for a computational model of the network that is able to adequately simulate the behavior described by the gene expression data sets. The chapter investigates three different mathematical methods used in computational models that are based on ordinary differential equations. These methods include Artificial Neural Network (ANN) method, S-System (SS) method and General Rate Law of Transcription (GRLOT) method. The mathematical models investigated in the chapter require a significant number of parameters to be fine-tuned in order for the models to accurately simulate real biological network behavior. In order to take advantage of available computational resources, parallel evolutionary algorithms are implemented using QosCosGrid- OpenMPI (QCG-OMPI). neural nets; reverse engineering

  • Data Mining of the Human Being

    Human life is organized in a hierarchical manner starting from the lower levels, including atoms and molecules, towards the populations of humans together with their social interaction. In this Chapter we discuss the data mining of the human life focusing on any kind of data regarding a human being at any level.



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