Posted on July 1, 2016






alfonso urso cnr

|

alfonso urso cnr

)
alfonso urso cnr.

The four main entities are, as the name suggests, Data, Problem, Solver and Workflow.Problem represents the set of Tasks to do in an application scenario, and it models the task decomposition from more complex goals to simpler ones.Data summarizes the type of information needed to perform a task belonging to a Problem. Data concept is specialized by Data_Type class, representingthe type of input and output data of a task, and each Data_Type has one or more Data_Format that encodes it. Solver concept fills the gap between aProblem to solve and the Tools that actual solve it. Each Solver is characterized by a computational Approach (probabilistic, topological, numericalapproach for instance) and it models the expert knowledge (in terms of heuristics or strategies) on which Tool, or combination of Tools, are needed inorder to accomplish a Task. Solver class is also characterized by a set of attributes, not shown in Figure 1, that specifies what are the pros andcons for using a solving strategy. Tool class identifies the generic entity that can be actually run, and it generalizes the concept of Algorithm, WebService, Application, Device. Each Tool has a computational Paradigm (for example neural networks, graph analysis, etc.) and eventually a set ofconfiguration Parameters; it requires a Data_Format object (the input file), and of course other type of Tools can be further added. By consideringseparately Problem, Solver and Data, we want to clearly separate among the models of the problem itself, the way to resolve it, and the input datarequested. This way we aim at enhancing the generalization, modularity and expandability features of the proposed ontology. The last main component ofthe proposed ontological approach is the Workflow entity. It represents the graphical view of a problem and its solving components. A Workflow iscomposed of one or more Processes, that can be seen as part of the global workflow implementing a specific Task, and each Process, in turn, iscomposed of ExecutionBlocks, that are the visual representations of an executed Tool. By embedding the concept of Workflow into our ontologicalstructure, we want to provide a full Knowledge Base specification that can be used as building block of a DSS whose suggestions during abioinformatics experiment can immediately be translated into an executive workflow.. Alfonso urso cnr.

ICAR-CNR, Consiglio Nazionale delle Ricerche, Viale delle Scienze, Ed.11, 90128 Palermo, Italy..



Descrizione alfonso urso cnr

In this example, we consider the "identification of protein networks fordisease classification", that, according to DPSW ontology, represents the problem concept; the implementation of this problem (the experiment) matcheswith the workflow concept. Here, we take as data input a list of protein-protein interactions (PPIs) and produces as data output a list of markedprotein network, that could be responsible for some specific diseases. According to the related literature, this problem could be arranged in threemain tasks: filtering, clustering and identification. For instance, the first task has been handled by some authors (Ucar et al., 2005) with atopological approach; in facts, they developed some graph-based algorithms in order to eliminate redundant false positive interactions from theoriginal PPI dataset. This preprocessing strategy points to increase the reliability of PPI-Network. As regarding the second task, i.e. findingmeaningful groups of biological units, a number of approaches have been proposed and a lot of them are based on clustering. A well-know algorithm isMarkov Clustering Algorithm (MCL) (Enright et al., 2002), that divides the graph by means of "flow simulation paradigm"..

As we are adopting a double-blind peer reviewprocess, please ensure to anonymise your submissionby removing allreferences to theauthors.. Alfonso urso cnr acquistare .

Alfonso Urso. EL Istihtto di Cnlcttlo e Reti nd AIte l>rcstn: . Il CNR non assume alcuna responsabilità sia in caso di eventuale dispersione di comunicazioni da

Il convegno rappresenta ormai un appuntamento annuale per la ricerca scientifica Campana in questa area di ricerca. Nell’offrire una occasionedi incontro ed aggiornamento su recenti sviluppi ed applicazioni della bioinformatica e biologia computazionale, il convegno ha come obiettivofavorire la conoscenza delle attivita’ svolta dai gruppi di ricerca impegnati in questo settore, facilitare l’integrazione tra iricercatori, ed avvicinare alla bioinformatica ricercatori di altre aree potenzialmente interessati alle sue applicazioni..

L’ottava edizione del convegno “Bioinformatica e Biologia Computazionale in Campania” si svolgera’ ad Avellino il 15novembre 2013 presso l’Istituto di Scienze dell’Alimentazione del CNR.. Alfonso urso cnr.

Received 11 May 2011; Revised 13 July 2011; Accepted 26 July 2011..

Alfonso urso cnr There is a more recent version of your browser available. For an optimal experience, please consider upgrading to the most recent version of yourbrowser.. alfonso allegra.

The CNR Naples Research area Student registration fee is reserved to students from CNR Research area that do not present any paper. The fee includesonly attendance at all CIBB conference sessions, conference material, coffee breaks and lunches (buffet)..

Massimo La Rosa, Riccardo Rizzo, and Alfonso Urso, “Soft Topographic Maps for Clustering and Classifying Bacteria Using HousekeepingGenes,” Advances in Artificial Neural Systems, vol. 2011, Article ID 617427, 8 pages, 2011..alfonso urso cnr.

Ricetta alfonso urso cnr

After such date, late registration fee will be appliedMembers of sponsorship institutionswill have discout of 50 euro on the early registration fee, if they send their registration form by July 23.. Alfonso urso cnr.

Early registration, is intended within July 23th, 2015..

Alfonso urso cnr MethodsDPSW ontology is shown, using UML notation, in Figure 1.. .

alfonso urso cnr.Nel settore della sanità i sistemi Cloud possono contribuire ad innovare i servizi clinici che vengono offerti ai pazienti e i servizi di gestionedelle strutture sanitarie tramite il governo del patrimonio informativo e il suo utilizzo a servizio dell'utenza. Tuttavia per realizzare questefunzionalità e' fondamentale comprendere al meglio le opportunità del Cloud in sanità e le sfide e i rischi derivanti dalla necessità di garantireaspetti vitali come la sicurezza delle applicazioni, la tutela della privacy dei dati, l'affidabilità e la continuità dei servizi Cloud..

Submissions should be no more than12 pages in english..

A workflowrelated to this case of study is reported in the bottom of the Figure 1.. Alfonso urso cnr.

In facts, it separates thegraph into different segments, with an iteration of simulated random walks within a graph. Once sub-networks are obtained, it is possible to identifythose complexes that demonstrate a differential expression with respect to carcinogenesis phenotype, by means of an integrative -omics approachproposed in (Nibbe et al., 2010).. alfonso urso cnr acquistare

Video alfonso urso cnr


Considerata l’ampia partecipazione alle precedenti edizioni (circa 100 iscritti), tutti gli interessati a partecipare sono invitati a compilareil modulo di registrazione per consentire una adeguata accoglienza. Non sara’ possibile accettare nuove registrazioni quando sara’superato il limite di posti disponibili..

Note:Figures and tables are available in PDF version only.. alfonso urso cnr acquistare .

To register you have to download and fill the registration form and sent us with the receipt of your payment. See registration form for detailedinformation or contact us..

L’ottava edizione del convegno “Bioinformatica e Biologia Computazionale in Campania” si svolgera’ ad Avellino il 15novembre 2013 presso l’Istituto di Scienze dell’Alimentazione del CNR.. alfonso urso cnr acquistare .

Results and DiscussionIn order to show how the proposed ontology can match with a real bioinformatics issue, we have taken into account a keychallenge of cancer research, i.e., the detection of protein sub-networks that identifies markers correlated with metastasis. In facts, each proteincomplex is suggestive of a distinct functional pathway, that can provide novel hypotheses in organisms analysis (Sharan et al., 2007)..

Questo lavoro di studio raccoglie i risultati delle attività svolte sull'uso delle tecnologie Cloud in ambito sanitario e per la realizzazione deiservizi di Fascicolo Sanitario Elettronico dagli istituti ICAR e IIT del Dip. DIITET del CNR in collaborazione con il Dip. per la Digitalizzazionedella Pubblica Amministrazione e l'Innovazione Tecnologica della Presidenza del Consiglio dei Ministri nel progetto "Evoluzione e interoperabilitàtecnologica del fascicolo sanitario elettronico".. , , .