4,082 resources related to Gene expression
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The conference program will consist of plenary lectures, symposia, workshops andinvitedsessions of the latest significant findings and developments in all the major fields ofbiomedical engineering.Submitted papers will be peer reviewed. Accepted high quality paperswill be presented in oral and postersessions, will appear in the Conference Proceedings and willbe indexed in PubMed/MEDLINE & IEEE Xplore
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.
2019 IEEE 58th 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, systems and control, and related areas.The 58th CDC will feature contributed and invited papers, as well as workshops and may include tutorial sessions.The IEEE CDC is hosted by the IEEE Control Systems Society (CSS) 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).
The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2019, the 26th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.
2019 IEEE International Conference on Systems, Man, and Cybernetics (SMC2019) will be held in the south of Europe in Bari, one of the most beautiful and historical cities in Italy. The Bari region’s nickname is “Little California” for its nice weather and Bari's cuisine is one of Italian most traditional , based of local seafood and olive oil. SMC2019 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report up-to-the-minute innovations and developments, summarize stateof-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems and cybernetics. Advances have importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience, and thereby improve quality of life.
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.
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.
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.
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, 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.
2014 2nd International Conference on Electronic Design (ICED), 2014
Microarray is one of the most promising tools available for researchers in the life sciences to study gene expression profiles. Through microarray analysis, gene expression levels can be obtained, and the biological information of a disease can be identified. The gene expression information embedded in the microarray is extracted using image-processing techniques. Gridding is one of the important processes used ...
2011 5th International Conference on Bioinformatics and Biomedical Engineering, 2011
Nrf1 [p45 nuclear factor-erythroid 2 (p45 NF-E2)-related factor 1], a member of the CNC bZIP (CNC basic region leucine zipper) family, is known to be a transcriptional activator by dimerization with its distinct partners, such as Maf, FosB, c-Jun, JunD, etc. The transcriptional roles of CNC-bZIP family are demonstrated to be involved in globin gene expression as well as the ...
2007 Frontiers in the Convergence of Bioscience and Information Technologies, 2007
Cell surface molecule CD44 of human brain microvascular endothelial cells (HBMEC) is the receptor of Cryptococcus neoformans during the infection. We performed microarray analysis and used principle component analysis to examine gene profiles of HBMEC in responses to C neoformans infection. The CD44 levels increases, peaking at the 4-hour time point and then declined gradually. Seventy genes displayed a similar ...
2013 Abstracts IEEE International Conference on Plasma Science (ICOPS), 2013
In the field of wound healing research non-thermal plasma (NTP) has attracted increasing attention over the last decades. NTP has a complex composition and consists of ions, exited atoms, electrons, ultraviolet (UV) light, visible and infrared radiation, neutral molecules, and free radicals e.g. reactive oxygen and nitrogen species (ROS/RNS)<sup>1</sup>. Next to its well-established antibacterial effects it has potential proliferation promoting ...
2009 3rd International Conference on Bioinformatics and Biomedical Engineering, 2009
Hierarchical clustering is a commonly used and valuable approach in clustering analysis. However it depends on the measure used to assess similarity between samples. Two frequently adopted distance measures are Euclidean distance (L<sub>2</sub>- norm) and city-block distance (L<sub>1</sub>-norm), and they do not take into account special characteristics of data at hand. In this paper, considering the nonnegativity of gene expression ...
Regular Expression Matching with Memristor TCAMs - Cat Graves - ICRC 2018
IEEE Sections Congress 2011 - vTools
2018 IEEE Honors Ceremony - Full Stream
The New Gene Therapy: CRISPR CAS-9 and the Future of Medicine: IEEE VICS 2018
ICASSP 2010 - Advances in Neural Engineering
Fuzzy and Soft Methods for Multi-Criteria Decision Making - Ronald R Yager - WCCI 2016
Working Panel Wrap-Up On Advancing The Solutions - Global Connect Stakeholders: Advancing Solutions
Influencing the Next Generation of Engineers via Ethics Education: IEEE TechEthics Panel
A Conversation About Ethics Education: IEEE TechEthics Interview
Microarray is one of the most promising tools available for researchers in the life sciences to study gene expression profiles. Through microarray analysis, gene expression levels can be obtained, and the biological information of a disease can be identified. The gene expression information embedded in the microarray is extracted using image-processing techniques. Gridding is one of the important processes used to extract features in DNA microarray, by assigning each spot in the microarray with individual coordinates for further data interpretation. This paper evaluates popular techniques of DNA microarray image gridding in the literature with an emphasis on gridding accuracy, speed, and the ability to remove noise. Based on our evaluation, the Otsu method can provide a better performance in terms of processing speed, accuracy, and ability to remove noise compared to other methods discussed in this paper.
Nrf1 [p45 nuclear factor-erythroid 2 (p45 NF-E2)-related factor 1], a member of the CNC bZIP (CNC basic region leucine zipper) family, is known to be a transcriptional activator by dimerization with its distinct partners, such as Maf, FosB, c-Jun, JunD, etc. The transcriptional roles of CNC-bZIP family are demonstrated to be involved in globin gene expression as well as the antioxidant response. MCRS2, a protein with transforming, nucleolar sequestration, ribosomal gene regulation, as well as telomerase inhibition activities, was identified as a novel interacting protein of Nrf1. In this study, we find that ERK1/2 phosphorylates Nrf1 during the interaction between Nrf1 and MCRS2. The phosphorylation of Nrf1 is induced by MCRS2 among the interactions between MCRS2 and Nrf1.
Cell surface molecule CD44 of human brain microvascular endothelial cells (HBMEC) is the receptor of Cryptococcus neoformans during the infection. We performed microarray analysis and used principle component analysis to examine gene profiles of HBMEC in responses to C neoformans infection. The CD44 levels increases, peaking at the 4-hour time point and then declined gradually. Seventy genes displayed a similar gene profile. Our results showed a dynamic relationship between pathogen-host interactions. The data is useful for the analysis of invasion mechanism of C neoformans into HBMEC.
In the field of wound healing research non-thermal plasma (NTP) has attracted increasing attention over the last decades. NTP has a complex composition and consists of ions, exited atoms, electrons, ultraviolet (UV) light, visible and infrared radiation, neutral molecules, and free radicals e.g. reactive oxygen and nitrogen species (ROS/RNS)<sup>1</sup>. Next to its well-established antibacterial effects it has potential proliferation promoting properties on eukaryotic cells<sup>2</sup>. Although a number of studies have been carried out to investigate the impact of NTP on human cells, not much is known about the influences on the molecular level. In order to shed some light in the complex impact NTP has on wound healing, this study analyzed in detail the differential gene expression pattern of human cells involved in this process in response to NTP treatment. Besides the keratinocyte cell line HaCaT, two immune cells lines were studied - the CD4<sup>+</sup> T helper cell line Jurkat and the monocyte cell line THP-1.
Hierarchical clustering is a commonly used and valuable approach in clustering analysis. However it depends on the measure used to assess similarity between samples. Two frequently adopted distance measures are Euclidean distance (L<sub>2</sub>- norm) and city-block distance (L<sub>1</sub>-norm), and they do not take into account special characteristics of data at hand. In this paper, considering the nonnegativity of gene expression data, we apply a generalized Kullback-Leibler (KL) divergence to measure the similarity in hierarchial clustering analysis. Experimental results on several real cancer related gene expression datasets show that the proposed KL divergence outperforms both L<sub>2</sub> and L<sub>1</sub> distances.
Hidden Markov models (HMMs) have demonstrated great successes in modeling noisy sequential data sets in the area of speech recognition and protein sequence profiling. Results from association test showed significant Markov dependency in time-series gene expression data, and therefore HMMs would be especially appropriate for modeling gene expressions. In this project, we developed a gene function prediction tool based on profile HMMs. Each function class is associated with a distinct HMM whose parameters are trained using yeast time-series gene expression data. The function annotations of the HMM training set were obtained from Munich Information Centre for Protein Sequences (MIPS) data base. We designed several structural variants of HMMs (single, double-split) and tested each of them on forty function classes each of which includes more than one hundred instances. The highest prediction sensitivity we achieved is 51% by using double-split HMM with 3-fold cross- validation.
There is growing interest in using rank-ordered gene lists to avoid excessive dependence on measured gene expression levels, which can vary strongly across experiments, platforms, or analysis methods. As a useful tool for working with these lists, this paper describes two extensions of an ordered list comparison measure, recently proposed for comparing Internet search engines: the use of random permutations to assess the significance of differences between ordered lists, and a graphical extension that highlights the items responsible for the main differences between two lists. The method is illustrated for a prostate cancer example from the genomics literature.
In the past years, microarray technologies have become a central tool in biological research. The extraction or identification of gene groups with similar expression pattern plays an important role in the analysis of genes. Besides traditional clustering methods, biclustering is also being used to analyze biological datasets due to its ability to group both genes across conditions simultaneously. The paper presents a comparison of advanced with the traditional tools for biological data extraction. This paper compares different clustering and biclustering approaches used to analyze DLBCL (diffuse large B-cell lymphoma) microarray dataset. The algorithms were compared on the grounds of enrichment values with support from runtime analysis. Typical annotations for the analyzed list of genes can be well understood using the BicAT toolbox. The paper explains in detail the intellects affecting the enrichment values, leading to the best technique for the dataset mentioned above.
Studies about the variation of DNA methylation pattern under high temperature stress (37°C) contribute to a comprehensive understanding of the apparent regulation of biological functions. Based on the in vitro cultivation of genetically modified birch (_Betula platyphylla_Suk.) clones for high- temperature stress, the paper detected exogenous gene transcription level differences with RT-PCR. Methylation-sensitive amplified polymorphism (MSAP) analysis the variation of DNA methylation pattern in transgenic birch. In this paper we used ten pairs of primers MSAP to deal with genetically modified DNA screening birch. The study revealed that high temperature stress can lead the level of transcriptional expression of transgene decrease, while endogenous levels of DNA methylation, including the overall methylation, the lateral semi-cytosine methylation as well as the inside of cytosine methylation level of the whole is almost twice than the control.
Rotator cuff tears are among the most common shoulder injuries that require surgery. High failure rates of biological graft-based repairs underscore the need for functional alternatives. Specifically, functional grafts must incorporate the gradient of mineralization from tendon to bone in order to be biomimetic. In this study, effects of varying concentrations of mineral content in aligned nanofiber scaffolds on human mesenchymal stem cells (hMSC) are evaluated. It is hypothesized that mineral content will regulate cell response, matrix deposition, and integrin gene expression. hMSC were seeded on aligned nanofiber scaffolds of polylactide-co-glycolide with 0%, 10%, and 15% hydroxyapatite content, and were maintained in chondrogenic medium. Cell proliferation (n=5), collagen deposition (n=5), and gene expression (n=5) for Collagen X, Sox9, osteopontin, osteonectin, and osteocalcin were determined over 42 days. Cell number was found to differ between the non-mineralized and mineralized groups. Significant increase in collagen deposition over time was observed in mineralized scaffold groups, and the 15% group showing significantly higher deposition than the 0% group by day 42. Lower expressions of chondrocyte hyperotrophy marker Collagen X and chondrogenic marker Sox9 and maintained high expressions of osteogenic markers osteopontin, osteonectin, and osteocalcin suggest an osteogenic lineage for the stem cells. In conclusion, addition of HA particles influenced hMSC proliferation, matrix deposition, and may induce an osteogenic differentiation response from the stem cells.
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