Combining Replicates and Nearby Species Data: A Bayesian Approach (Articolo in rivista)

Type
Label
  • Combining Replicates and Nearby Species Data: A Bayesian Approach (Articolo in rivista) (literal)
Anno
  • 2010-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1007/978-3-642-14571-1_14 (literal)
Alternative label
  • Angelini C.; De Feis I.; van der Wath R.; Nguyen V.-A.; Liò P. (2010)
    Combining Replicates and Nearby Species Data: A Bayesian Approach
    in Lecture notes in computer science; Springer-Verlag Berlin, Berlin (Germania)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Angelini C.; De Feis I.; van der Wath R.; Nguyen V.-A.; Liò P. (literal)
Pagina inizio
  • 191 (literal)
Pagina fine
  • 205 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
  • Si tratta della tipologia CONTRIBUTO IN ATTI DI CONVEGNO (selezione Book series nel campo Serie/Collana e Source nel campo Titolo VOLUME). Computational Intelligence Methods for Bioinformatics and Biostatistics 6th International Meeting, CIBB 2009, Genoa, Italy, October 15-17, 2009, Revised Selected Papers (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://www.springerlink.com/content/g74k884r46181073/ (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 6160 (literal)
Rivista
Note
  • Scopu (literal)
  • ISI Web of Science (WOS) (literal)
  • Google S (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Istituto per le Applicazioni del Calcolo \"Mauro Picone\" Consiglio Nazionale delle Ricerche, Naples, Italy; Computer Laboratory, University of Cambridge, Cambridge, United Kingdom (literal)
Titolo
  • Combining Replicates and Nearby Species Data: A Bayesian Approach (literal)
Abstract
  • Here we discuss the biological high-throughput data dilemma: how to integrate replicated experiments and nearby species data? Should we consider each species as a monadic source of data when replicated experiments are available or, viceversa, should we try to collect information from the large number of nearby species analyzed in the different laboratories? In this paper we make and justify the observation that experimental replicates and phylogenetic data may be combined to strength the evidences on identifying transcriptional motifs and identify networks, which seems to be quite difficult using other currently used methods. In particular we discuss the use of phylogenetic inference and the potentiality of the Bayesian variable selection procedure in data integration. In order to illustrate the proposed approach we present a case study considering sequences and microarray data from fungi species. We also focus on the interpretation of the results with respect to the problem of experimental and biological noise. (literal)
Editore
Prodotto di
Autore CNR

Incoming links:


Prodotto
Autore CNR di
Editore di
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#rivistaDi
data.CNR.it