Search results for "Computer Science Application"

showing 10 items of 3998 documents

RIP-Chip analysis supports different roles for AGO2 and GW182 proteins in recruiting and processing microRNA targets.

2019

Background MicroRNAs (miRNAs) are small non-coding RNA molecules mediating the translational repression and degradation of target mRNAs in the cell. Mature miRNAs are used as a template by the RNA-induced silencing complex (RISC) to recognize the complementary mRNAs to be regulated. To discern further RISC functions, we analyzed the activities of two RISC proteins, AGO2 and GW182, in the MCF-7 human breast cancer cell line. Methods We performed three RIP-Chip experiments using either anti-AGO2 or anti-GW182 antibodies and compiled a data set made up of the miRNA and mRNA expression profiles of three samples for each experiment. Specifically, we analyzed the input sample, the immunoprecipita…

Chromatin ImmunoprecipitationSupport Vector MachineRIP-Chip data analysisMiRNA bindingComputational biologyBiologylcsh:Computer applications to medicine. Medical informaticsBiochemistryAutoantigens03 medical and health sciencesOpen Reading Frames0302 clinical medicineStructural BiologymicroRNARIP-Chip data analysiCoding regionGene silencingHumansRNA MessengerMolecular BiologyGenelcsh:QH301-705.5030304 developmental biology0303 health sciencesBinding SitesApplied MathematicsGene Expression ProfilingResearchRNARNA-Binding ProteinsmicroRNA target predictionRISC proteins AGO2 and GW182Computer Science ApplicationsSettore BIO/18 - GeneticaMicroRNAslcsh:Biology (General)Gene Expression Regulation030220 oncology & carcinogenesismicroRNA regulatory activityArgonaute ProteinsMCF-7 Cellslcsh:R858-859.7DNA microarrayRIP-ChipBMC bioinformatics
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Topological structure analysis of chromatin interaction networks.

2019

Abstract Background Current Hi-C technologies for chromosome conformation capture allow to understand a broad spectrum of functional interactions between genome elements. Although significant progress has been made into analysis of Hi-C data to identify biologically significant features, many questions still remain open, in particular regarding potential biological significance of various topological features that are characteristic for chromatin interaction networks. Results It has been previously observed that promoter capture Hi-C (PCHi-C) interaction networks tend to separate easily into well-defined connected components that can be related to certain biological functionality, however, …

Chromatin interaction networksFunctionally related modulesComputer scienceCellStructure (category theory)Topologylcsh:Computer applications to medicine. Medical informaticsBiochemistryGenomeChromosome conformation capture03 medical and health sciences0302 clinical medicineGraph topologyStructural BiologyComponent (UML)medicineHumansGene Regulatory NetworksCell type specificityPromoter Regions GeneticMolecular Biologylcsh:QH301-705.5030304 developmental biologyConnected component0303 health sciencesApplied MathematicsResearchChromatinComputer Science ApplicationsChromatinHematopoiesisIdentification (information)medicine.anatomical_structurelcsh:Biology (General)Gene Expression RegulationTopological graph theorylcsh:R858-859.7DNA microarray030217 neurology & neurosurgeryAlgorithmsBMC bioinformatics
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The Evolving Role of Fetuin-A in Nonalcoholic Fatty Liver Disease: An Overview from Liver to the Heart

2021

Nonalcoholic fatty liver disease (NAFLD) is strongly associated to the features of metabolic syndrome which can progress to cirrhosis, liver failure and hepatocellular carcinoma. However, the most common cause of mortality in people with NAFLD is not liver-related but stems from atherosclerotic cardiovascular disease (CVD). The prevalence of NAFLD is on the rise, mainly as a consequence of its close association with two major worldwide epidemics, obesity and type 2 diabetes (T2D). The exact pathogenesis of NAFLD and especially the mechanisms leading to disease progression and CVD have not been completely elucidated. Human fetuin-A (alpha-2-Heremans Schmid glycoprotein), a glycoprotein produ…

Cirrhosisalpha-2-HS-GlycoproteinQH301-705.5030209 endocrinology & metabolismReviewType 2 diabetes030204 cardiovascular system & hematologyBioinformaticsdigestive systemCatalysisInorganic ChemistryPathogenesis03 medical and health sciences0302 clinical medicineInsulin resistanceNon-alcoholic Fatty Liver DiseaseNAFLDNonalcoholic fatty liver diseaseAnimalsHumansMedicineBiology (General)Physical and Theoretical ChemistryQD1-999Molecular BiologyCVD Fetuin‐A NAFLD Animals Cardiovascular Diseases Fibrosis Humans Liver Non-alcoholic Fatty Liver Disease alpha-2-HS-GlycoproteinSpectroscopybusiness.industryOrganic Chemistrynutritional and metabolic diseasesGeneral MedicineCVDmedicine.diseaseFibrosisObesitydigestive system diseasesFetuin-AComputer Science ApplicationsChemistryLiverCardiovascular DiseasesHepatocellular carcinomaMetabolic syndromebusinessInternational Journal of Molecular Sciences
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Fotovoz como metodología innovadora en educación superior

2022

La adaptación al EEES ha exigido el surgimiento de metodologías activas adscritas a la educación, siendo fotovoz clave en diferentes niveles educativos. Sin embargo, la investigación en el contexto educativo, y en concreto en el de Educación Superior, es escaso. Por tanto, el objetivo de este trabajo es analizar el uso de fotovoz en educación superior, a través de una revisión sistemática basada en la Declaración PRISMA 2020 en tres bases de datos. Quince de los 408 estudios identificados cumplieron con los criterios de inclusión. Los resultados posicionan Fotovoz como una alternativa educativa con potencial en entornos de Educación Superior. The adaptation to the EHEA has demanded the emer…

Ciències socials MetodologiaComputer Networks and CommunicationsEducacióEducació InvestigacióComputer Science ApplicationsInformation SystemsTECHNO REVIEW. International Technology, Science and Society Review /Revista Internacional de Tecnología, Ciencia y Sociedad
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On Duality in Learning and the Selection of Learning Teams

1996

AbstractPrevious work in inductive inference dealt mostly with finding one or several machines (IIMs) that successfully learn collections of functions. Herein we start with a class of functions and considerthe learner setof all IIMs that are successful at learning the given class. Applying this perspective to the case of team inference leads to the notion ofdiversificationfor a class of functions. This enable us to distinguish between several flavours of IIMs all of which must be represented in a team learning the given class.

Class (computer programming)business.industryPerspective (graphical)Duality (mathematics)InferenceInductive reasoningMachine learningcomputer.software_genreTheoretical Computer ScienceComputer Science ApplicationsTeam learningComputational Theory and MathematicsSelection (linguistics)Artificial intelligencebusinesscomputerMathematicsInformation SystemsInformation and Computation
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Positive Versions of Polynomial Time

1998

Abstract We show that restricting a number of characterizations of the complexity class P to be positive (in natural ways) results in the same class of (monotone) problems, which we denote by posP . By a well-known result of Razborov, posP is a proper subclass of the class of monotone problems in P . We exhibit complete problems for posP via weak logical reductions, as we do for other logically defined classes of problems. Our work is a continuation of research undertaken by Grigni and Sipser, and subsequently Stewart; indeed, we introduce the notion of a positive deterministic Turing machine and consequently solve a problem posed by Grigni and Sipser.

Class (set theory)Computational complexity theoryAlgorithmic logicTheoretical Computer ScienceComputer Science ApplicationsCombinatoricsTuring machinesymbols.namesakeMonotone polygonNon-deterministic Turing machineComputational Theory and MathematicsComplexity classsymbolsTime complexityMathematicsInformation Systems
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The expressive power of the shuffle product

2010

International audience; There is an increasing interest in the shuffle product on formal languages, mainly because it is a standard tool for modeling process algebras. It still remains a mysterious operation on regular languages.Antonio Restivo proposed as a challenge to characterize the smallest class of languages containing the singletons and closed under Boolean operations, product and shuffle. This problem is still widely open, but we present some partial results on it. We also study some other smaller classes, including the smallest class containing the languages composed of a single word of length 2 which is closed under Boolean operations and shuffle by a letter (resp. shuffle by a l…

Class (set theory)Computer science[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]0102 computer and information sciences02 engineering and technologyStar (graph theory)01 natural sciencesExpressive powerTheoretical Computer ScienceRegular languageFormal language0202 electrical engineering electronic engineering information engineeringArithmeticAlgebraic numberComputingMilieux_MISCELLANEOUSDiscrete mathematicsComputer Science Applicationsshuffle operatorComputational Theory and Mathematics010201 computation theory & mathematicsProduct (mathematics)Formal language020201 artificial intelligence & image processingBoolean operations in computer-aided designWord (computer architecture)Information Systems
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Stochastic Stability Analysis for Markovian Jump Neutral Nonlinear Systems

2012

In this paper, the stability problem is studied for a class of Markovian jump neutral nonlinear systems with time-varying delay. By Lyapunov-Krasovskii function approach, a novel mean-square exponential stability criterion is derived for the situations that the system's transition rates are completely accessible, partially accessible and non-accessible, respectively. Moreover, the developed stability criterion is extended to the systems with different bounded sector nonlinear constraints. Finally, some numerical examples are provided to illustrate the effectiveness of the proposed methods.

Class (set theory)Engineeringbusiness.industryStability criterionStochastic stability; Markovian jump systemFunction (mathematics)nonlinear systemStability (probability)lcsh:QA75.5-76.95Computer Science ApplicationsNonlinear systemMarkovian jumpExponential stabilityControl and Systems EngineeringControl theoryModeling and SimulationBounded functionApplied mathematicslcsh:Electronic computers. Computer sciencebusinessSoftwareModeling, Identification and Control
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Filtering design for two-dimensional Markovian jump systems with state-delays and deficient mode information

2014

This paper is concerned with the problem of H"~ filtering for a class of two-dimensional Markovian jump linear systems described by the Fornasini-Marchesini local state-space model. The systems under consideration are subject to state-delays and deficient mode information in the Markov chain. The description of deficient mode information is comprehensive that simultaneously includes the exactly known, partially unknown and uncertain transition probabilities. By invoking the properties of the transition probability matrix, together with the convexification of uncertain domains, a new H"~ performance analysis criterion for the filtering error system is firstly derived. Then, via some matrix i…

Class (set theory)Information Systems and ManagementMarkov chainMode (statistics)H filteringComputer Science Applications1707 Computer Vision and Pattern RecognitionState (functional analysis)Filter (signal processing)Deficient mode informationComputer Science ApplicationsTheoretical Computer ScienceSet (abstract data type)Deficient mode information; H filtering; Markovian jump system; State-delay; Two-dimensional system; Artificial Intelligence; Software; Control and Systems Engineering; Theoretical Computer Science; Computer Science Applications1707 Computer Vision and Pattern Recognition; Information Systems and ManagementMatrix (mathematics)Control theoryState-delayArtificial IntelligenceControl and Systems EngineeringMarkovian jump systemApplied mathematicsTwo-dimensional systemDesign methodsSoftwareMathematics
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Impact of chaotic dynamics on the performance of metaheuristic optimization algorithms : An experimental analysis

2022

Random mechanisms including mutations are an internal part of evolutionary algorithms, which are based on the fundamental ideas of Darwin's theory of evolution as well as Mendel's theory of genetic heritage. In this paper, we debate whether pseudo-random processes are needed for evolutionary algorithms or whether deterministic chaos, which is not a random process, can be suitably used instead. Specifically, we compare the performance of 10 evolutionary algorithms driven by chaotic dynamics and pseudo-random number generators using chaotic processes as a comparative study. In this study, the logistic equation is employed for generating periodical sequences of different lengths, which are use…

Class (set theory)Information Systems and ManagementTheoretical computer scienceComputer scienceEvolutionary algorithmChaoticalgoritmiikkaevoluutiolaskentaparviälyTheoretical Computer ScienceArtificial IntelligencealgoritmitLogistic functionevolutionary algorithmsRandomnessdeterministic chaoskaaosteoriaStochastic processswarm intelligencealgorithm performanceComputer Science Applicationsalgorithm dynamicsCHAOS (operating system)Control and Systems EngineeringDarwin (ADL)Software
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