Por favor, use este identificador para citar o enlazar a este item:
http://hdl.handle.net/10261/8723
COMPARTIR / EXPORTAR:
SHARE CORE BASE | |
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE | |
Campo DC | Valor | Lengua/Idioma |
---|---|---|
dc.contributor.author | Chagoyen, Mónica | - |
dc.contributor.author | Carazo, José M. | - |
dc.contributor.author | Pascual-Montano, Alberto | - |
dc.date.accessioned | 2008-11-20T13:47:59Z | - |
dc.date.available | 2008-11-20T13:47:59Z | - |
dc.date.issued | 2008-10-20 | - |
dc.identifier.citation | BMC Bioinformatics 9:444 (2008) | en_US |
dc.identifier.issn | 1471-2105 | - |
dc.identifier.uri | http://hdl.handle.net/10261/8723 | - |
dc.description | 12 pages, 5 figures. -- PMID: 18937846 [PubMed].-- PMCID: PMC2588600.-- Additional information available: File 1: Coherence score and significance measures of random sets.- File 2: Functional analysis of 'Module 39' obtained by Pu et al. [37] using various approaches. | en_US |
dc.description.abstract | [Background] Analysis of large-scale experimental datasets frequently produces one or more sets of proteins that are subsequently mined for functional interpretation and validation. To this end, a number of computational methods have been devised that rely on the analysis of functional annotations. Although current methods provide valuable information (e.g. significantly enriched annotations, pairwise functional similarities), they do not specifically measure the degree of homogeneity of a protein set. | en_US |
dc.description.abstract | [Results] In this work we present a method that scores the degree of functional homogeneity, or coherence, of a set of proteins on the basis of the global similarity of their functional annotations. The method uses statistical hypothesis testing to assess the significance of the set in the context of the functional space of a reference set. As such, it can be used as a first step in the validation of sets expected to be homogeneous prior to further functional interpretation. | en_US |
dc.description.abstract | [Conclusions] We evaluate our method by analysing known biologically relevant sets as well as random ones. The known relevant sets comprise macromolecular complexes, cellular components and pathways described for Saccharomyces cerevisiae, which are mostly significantly coherent. Finally, we illustrate the usefulness of our approach for validating ‘functional modules’ obtained from computational analysis of protein-protein interaction networks. | en_US |
dc.description.abstract | Matlab code and supplementary data are available at: http://www.cnb.csic.es/~monica/coherence/ | - |
dc.description.sponsorship | This work has been partially funded by the Spanish grants BIO2007-67150-C03-02, S-Gen- 0166/2006, CYTED-505PI0058, TIN2005-5619, PR27/05-13964-BSCH. APM acknowledges the support of the Spanish Ramón y Cajal program. | en_US |
dc.format.extent | 289178 bytes | - |
dc.format.extent | 75141 bytes | - |
dc.format.extent | 35264 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.format.mimetype | application/pdf | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | eng | en_US |
dc.publisher | BioMed Central | en_US |
dc.relation.isversionof | Publisher's version | - |
dc.rights | openAccess | en_US |
dc.subject | Protein sets | - |
dc.subject | Data mining | - |
dc.subject | Functional interpretation and validation | - |
dc.subject | Computational methods | - |
dc.subject | Functional annotations | - |
dc.subject | Degree of functional homogeneity | - |
dc.title | Assessment of protein set coherence using functional annotations | en_US |
dc.type | artículo | en_US |
dc.identifier.doi | 10.1186/1471-2105-9-444 | - |
dc.description.peerreviewed | Peer reviewed | en_US |
dc.relation.publisherversion | http://dx.doi.org/10.1186/1471-2105-9-444 | en_US |
dc.identifier.pmid | 18937846 | - |
dc.type.coar | http://purl.org/coar/resource_type/c_6501 | es_ES |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.fulltext | With Fulltext | - |
item.cerifentitytype | Publications | - |
item.openairetype | artículo | - |
item.languageiso639-1 | en | - |
item.grantfulltext | open | - |
Aparece en las colecciones: | (CNB) Artículos |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
---|---|---|---|---|
Assessment_protein_set_coherence.pdf | Main text | 699,16 kB | Adobe PDF | Visualizar/Abrir |
Assessment_protein_set_coherence_S1.pdf | Additional file 1 | 73,38 kB | Adobe PDF | Visualizar/Abrir |
Assessment_protein_set_coherence_S2.pdf | Additional file 2 | 34,44 kB | Adobe PDF | Visualizar/Abrir |
CORE Recommender
PubMed Central
Citations
7
checked on 29-mar-2024
SCOPUSTM
Citations
10
checked on 17-abr-2024
WEB OF SCIENCETM
Citations
11
checked on 27-feb-2024
Page view(s)
469
checked on 17-abr-2024
Download(s)
355
checked on 17-abr-2024
Google ScholarTM
Check
Altmetric
Altmetric
Artículos relacionados:
NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.