Classification of selectively constrained DNA elements using feature vectors and rule-based classifiers (Articolo in rivista)

Type
Label
  • Classification of selectively constrained DNA elements using feature vectors and rule-based classifiers (Articolo in rivista) (literal)
Anno
  • 2014-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1016/j.ygeno.2014.07.004 (literal)
Alternative label
  • Polychronopoulos D.; Weitschek E.; Dimitrieva S.; Bucher P.; Felici G.; Almirantis Y. (2014)
    Classification of selectively constrained DNA elements using feature vectors and rule-based classifiers
    in Genomics (S. Diego Calif.)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Polychronopoulos D.; Weitschek E.; Dimitrieva S.; Bucher P.; Felici G.; Almirantis Y. (literal)
Pagina inizio
  • 79 (literal)
Pagina fine
  • 86 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://www.scopus.com/inward/record.url?eid=2-s2.0-84906046483&partnerID=q2rCbXpz (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 104 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
  • 2 (literal)
Note
  • Scopu (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Institute of Biosciences and Applications, National Center for Scientific Research Demokritos, 15310 Athens, Greece; Department of Biochemistry and Molecular Biology, Faculty of Biology, National and Kapodistrian University of Athens, 15701 Athens, Greece; Department of Engineering, Roma Tre University, Via della Vasca Navale 79, 00146 Rome, Italy; Inst. of Systems Analysis and Computer Science Antonio Ruberti, National Research Council, Viale Manzoni 30, 00185 Rome, Italy; Swiss Institute for Experimental Cancer Research (ISREC), School of Life Sciences, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland; Swiss Institute of Bioinformatics (SIB), CH-1015 Lausanne, Switzerland (literal)
Titolo
  • Classification of selectively constrained DNA elements using feature vectors and rule-based classifiers (literal)
Abstract
  • Scarce work has been done in the analysis of the composition of conserved non-coding elements (CNEs) that are identified by comparisons of two or more genomes and are found to exist in all metazoan genomes.Here we present the analysis of CNEs with a methodology that takes into account word occurrence at various lengths scales in the form of feature vector representation and rule based classifiers. We implement our approach on both protein-coding exons and CNEs, originating from human, insect ( Drosophila melanogaster) and worm (Caenorhabditis elegans) genomes, that are either identified in the present study or obtained from the literature.Alignment free feature vector representation of sequences combined with rule-based classification methods leads to successful classification of the different CNEs classes. Biologically meaningful results are derived by comparison with the genomic signatures approach, and classification rates for a variety of functional elements of the genomes along with surrogates are presented. © 2014 Elsevier Inc. (literal)
Prodotto di
Autore CNR
Insieme di parole chiave

Incoming links:


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