Search results for "archi"

showing 10 items of 9402 documents

Quantum clustering in non-spherical data distributions: Finding a suitable number of clusters

2017

Quantum Clustering (QC) provides an alternative approach to clustering algorithms, several of which are based on geometric relationships between data points. Instead, QC makes use of quantum mechanics concepts to find structures (clusters) in data sets by finding the minima of a quantum potential. The starting point of QC is a Parzen estimator with a fixed length scale, which significantly affects the final cluster allocation. This dependence on an adjustable parameter is common to other methods. We propose a framework to find suitable values of the length parameter σ by optimising twin measures of cluster separation and consistency for a given cluster number. This is an extension of the Se…

0301 basic medicineClustering high-dimensional dataMathematical optimizationCognitive NeuroscienceSingle-linkage clusteringCorrelation clustering02 engineering and technologyComputer Science ApplicationsHierarchical clusteringDetermining the number of clusters in a data set03 medical and health sciences030104 developmental biologyArtificial Intelligence0202 electrical engineering electronic engineering information engineeringCluster (physics)020201 artificial intelligence & image processingQACluster analysisAlgorithmk-medians clusteringMathematicsNeurocomputing
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Efficient Algorithms for Sequence Analysis with Entropic Profiles

2017

Entropy, being closely related to repetitiveness and compressibility, is a widely used information-related measure to assess the degree of predictability of a sequence. Entropic profiles are based on information theory principles, and can be used to study the under-/over-representation of subwords, by also providing information about the scale of conserved DNA regions. Here, we focus on the algorithmic aspects related to entropic profiles. In particular, we propose linear time algorithms for their computation that rely on suffix-based data structures, more specifically on the truncated suffix tree (TST) and on the enhanced suffix array (ESA). We performed an extensive experimental campaign …

0301 basic medicineCompressed suffix arrayTheoretical computer scienceEntropySuffix tree0206 medical engineeringGeneralized suffix tree02 engineering and technologyString searching algorithmInformation theorylaw.invention03 medical and health scienceslawGeneticsAnimalsHumansMathematicsApplied MathematicsSuffix arrayComputational BiologyDNASequence Analysis DNAData structure030104 developmental biologySuffixAlignment free Entropy Sequence analysis Sequence comparisonAlgorithms020602 bioinformaticsBiotechnologyIEEE/ACM Transactions on Computational Biology and Bioinformatics
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Revealing community structures by ensemble clustering using group diffusion

2018

We propose an ensemble clustering approach using group diffusion to reveal community structures in data. We represent data points as a directed graph and assume each data point belong to single cluster membership instead of multiple memberships. The method is based on the concept of ensemble group diffusion with a parameter to represent diffusion depth in clustering. The ability to modulate the diffusion-depth parameter by varying it within a certain interval allows for more accurate construction of clusters. Depending on the value of the diffusion-depth parameter, the presented approach can determine very well both local clusters and global structure of data. At the same time, the ability …

0301 basic medicineComputer scienceProperty (programming)Markov chain02 engineering and technologyInterval (mathematics)03 medical and health sciencesdiffuusio (fysikaaliset ilmiöt)0202 electrical engineering electronic engineering information engineeringCluster (physics)SegmentationDiffusion (business)Cluster analysista113ta213diffusionDirected graph030104 developmental biologyData pointHardware and ArchitectureSignal Processingyhdyskuntarakenne020201 artificial intelligence & image processingsocial networkcommunity structureAlgorithmSoftwareInformation Systemsclustering
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Parallel Pairwise Epistasis Detection on Heterogeneous Computing Architectures

2016

This is a post-peer-review, pre-copyedit version of an article published in IEEE Transactions on Parallel and Distributed Systems. The final authenticated version is available online at: http://dx.doi.org/10.1109/TPDS.2015.2460247. [Abstract] Development of new methods to detect pairwise epistasis, such as SNP-SNP interactions, in Genome-Wide Association Studies is an important task in bioinformatics as they can help to explain genetic influences on diseases. As these studies are time consuming operations, some tools exploit the characteristics of different hardware accelerators (such as GPUs and Xeon Phi coprocessors) to reduce the runtime. Nevertheless, all these approaches are not able t…

0301 basic medicineCoprocessorComputer science0206 medical engineeringAccelerationData modelsSymmetric multiprocessor systemComputational modeling02 engineering and technologyParallel computingSupercomputer03 medical and health sciencesTask (computing)030104 developmental biologyCoprocessorsComputational Theory and MathematicsHardware and ArchitectureSignal ProcessingGeneticsPairwise comparisonComputer architectureGraphics processing units020602 bioinformaticsXeon Phi
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Reactome graph database: Efficient access to complex pathway data

2018

Reactome is a free, open-source, open-data, curated and peer-reviewed knowledgebase of biomolecular pathways. One of its main priorities is to provide easy and efficient access to its high quality curated data. At present, biological pathway databases typically store their contents in relational databases. This limits access efficiency because there are performance issues associated with queries traversing highly interconnected data. The same data in a graph database can be queried more efficiently. Here we present the rationale behind the adoption of a graph database (Neo4j) as well as the new ContentService (REST API) that provides access to these data. The Neo4j graph database and its qu…

0301 basic medicineDatabases FactualComputer scienceData managementKnowledge BasesSocial SciencesInformation Storage and RetrievalNoSQLcomputer.software_genreComputer ApplicationsDatabase and Informatics MethodsUser-Computer Interface0302 clinical medicineKnowledge extractionPsychologyDatabase Searchinglcsh:QH301-705.5Data ManagementLanguageBiological dataEcologySystems BiologyGenomicsGenomic DatabasesComputational Theory and MathematicsModeling and SimulationWeb-Based ApplicationsGraph (abstract data type)Information TechnologyResearch ArticleComputer and Information SciencesRelational databaseQuery languageResearch and Analysis MethodsEcosystems03 medical and health sciencesCellular and Molecular NeuroscienceDatabasesGeneticsComputer GraphicsHumansMolecular BiologyEcology Evolution Behavior and SystematicsInternetInformation retrievalGraph databasebusiness.industryEcology and Environmental SciencesCognitive PsychologyBiology and Life SciencesComputational BiologyGenome AnalysisRelational Databases030104 developmental biologyBiological Databaseslcsh:Biology (General)Cognitive Sciencebusinesscomputer030217 neurology & neurosurgerySoftwareNeurosciencePLoS Computational Biology
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Dual inhibitors of histone deacetylases and other cancer-related targets: A pharmacological perspective.

2020

International audience; Epigenetic enzymes histone deacetylases (HDACs) are clinically validated anticancer drug targets which have been studied intensively in the past few decades. Although several drugs have been approved in this field, they are still limited to a subset of hematological malignancies (in particular T-cell lymphomas), with therapeutic potential not fully realized and the drug-resistance occurred after a certain period of use. To maximize the therapeutic potential of these classes of anticancer drugs, and to extend their application to solid tumors, numerous combination therapies containing an HDACi and an anticancer agent from other mechanisms are currently ongoing in clin…

0301 basic medicineDual targeting[SDV]Life Sciences [q-bio]Cancer therapyKinasesAntineoplastic AgentsBioinformaticsBiochemistryAnticancer drugsSynergistic effectsHistone Deacetylases03 medical and health sciences0302 clinical medicineDrug Delivery SystemsNeoplasmsReceptorsmedicineAnimalsHumansEpigeneticsPharmacologybiologybusiness.industryCancerDUAL (cognitive architecture)medicine.diseaseAnticancer drug3. Good healthEnzymesClinical trial[SDV] Life Sciences [q-bio]Histone Deacetylase Inhibitors030104 developmental biologyHistone030220 oncology & carcinogenesisbiology.proteinHistone deacetylases (HDACs)EpigeneticsDual inhibitorbusinessBiochemical pharmacology
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In Situ Representations and Access Consciousness in Neural Blackboard or Workspace Architectures

2018

Phenomenal theories of consciousness assert that consciousness is based on specific neural correlates in the brain, which can be separated from all cognitive functions we can perform. If so, the search for robot consciousness seems to be doomed. By contrast, theories of functional or access consciousness assert that consciousness can be studied only with forms of cognitive access, given by cognitive processes. Consequently, consciousness and cognitive access cannot be fully dissociated. Here, the global features of cognitive access of consciousness are discussed based on neural blackboard or (global) workspace architectures, combined with content addressable or "in situ" representations as …

0301 basic medicineElectromagnetic theories of consciousnessComputer scienceProcess (engineering)lcsh:Mechanical engineering and machineryin situ representationsmedia_common.quotation_subjectWorkspacelcsh:QA75.5-76.9503 medical and health sciences0302 clinical medicineArtificial Intelligencelcsh:TJ1-1570global workspacemedia_commonRobotics and AICognitive scienceaccess consciousnessNeural correlates of consciousnessneural blackboard architecturesCognitionconnection pathsBlackboard (design pattern)Computer Science Applications030104 developmental biologyCovertPerspectiverobotslcsh:Electronic computers. Computer scienceConsciousness030217 neurology & neurosurgeryFrontiers in Robotics and AI
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p73 is required for ependymal cell maturation and neurogenic SVZ cytoarchitecture

2015

The adult subventricular zone (SVZ) is a highly organized microenvironment established during the first postnatal days when radial glia cells begin to transform into type B-cells and ependymal cells, all of which will form regenerative units, pinwheels, along the lateral wall of the lateral ventricle. Here, we identify p73, a p53 homologue, as a critical factor controlling both cell-type specification and structural organization of the developing mouse SVZ. We describe that p73 deficiency halts the transition of the radial glia into ependymal cells, leading to the emergence of immature cells with abnormal identities in the ventricle and resulting in loss of the ventricular integrity. p73-de…

0301 basic medicineEpendymal CellCiliumNeurogenesisSubventricular zoneBiology03 medical and health sciencesCellular and Molecular NeuroscienceLateral ventricles030104 developmental biologymedicine.anatomical_structureDevelopmental NeuroscienceCytoarchitectureCiliogenesismedicineskin and connective tissue diseasesEpendymaneoplasmsNeuroscienceDevelopmental Neurobiology
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De novo transcriptome assembly and its annotation for the aposematic wood tiger moth (Parasemia plantaginis)

2017

In this paper we report the public availability of transcriptome resources for the aposematic wood tiger moth (Parasemia plantaginis). A comprehensive assembly methods, quality statistics, and annotation are provided. This reference transcriptome may serve as a useful resource for investigating functional gene activity in aposematic Lepidopteran species. All data is freely available at the European Nucleotide Archive (http://www.ebi.ac.uk/ena) under study accession number: PRJEB14172. Peer reviewed

0301 basic medicineEuropean Nucleotide Archivelcsh:QH426-470De novo transcriptome assemblyZoologyspeciesAposematismBiochemistryTranscriptome03 medical and health sciencesAnnotationParasemia plantaginisGeneticsta119biologyTiger1184 Genetics developmental biology physiologywood tiger mothAccession number (bioinformatics)biology.organism_classificationlcsh:Genetics030104 developmental biologyEvolutionary biology1181 Ecology evolutionary biologyMolecular Medicineta1181BiotechnologyGenomics Data
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Alignment-free sequence comparison using absent words

2018

Sequence comparison is a prerequisite to virtually all comparative genomic analyses. It is often realised by sequence alignment techniques, which are computationally expensive. This has led to increased research into alignment-free techniques, which are based on measures referring to the composition of sequences in terms of their constituent patterns. These measures, such as $q$-gram distance, are usually computed in time linear with respect to the length of the sequences. In this paper, we focus on the complementary idea: how two sequences can be efficiently compared based on information that does not occur in the sequences. A word is an {\em absent word} of some sequence if it does not oc…

0301 basic medicineFOS: Computer and information sciencesFormal Languages and Automata Theory (cs.FL)Computer Science - Formal Languages and Automata TheorySequence alignmentInformation System0102 computer and information sciencesCircular wordAbsent words01 natural sciencesUpper and lower boundsSequence comparisonTheoretical Computer ScienceCombinatorics03 medical and health sciencesComputer Science - Data Structures and AlgorithmsData Structures and Algorithms (cs.DS)Absent wordCircular wordsMathematicsSequenceSettore INF/01 - InformaticaProcess (computing)q-gramComputer Science Applications1707 Computer Vision and Pattern Recognitionq-gramsComposition (combinatorics)Computer Science Applications030104 developmental biologyComputational Theory and MathematicsForbidden words010201 computation theory & mathematicsFocus (optics)Forbidden wordWord (computer architecture)Information SystemsInteger (computer science)
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