Pregled bibliografske jedinice broj: 230329
Predicting Gene Ontology Categories from Heterogeneous Genomic Data
Predicting Gene Ontology Categories from Heterogeneous Genomic Data // 4th European Conference on Computational Biology (ECCB 2005) Programme and Abstracts Book / Valencia, Alfonso ; Guigó, Roderic ; Morán, Federico (ur.).
Madrid, 2005. (poster, međunarodna recenzija, sažetak, znanstveni)
CROSBI ID: 230329 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Predicting Gene Ontology Categories from Heterogeneous Genomic Data
Autori
Supek, Fran ; Šmuc, Tomislav
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Izvornik
4th European Conference on Computational Biology (ECCB 2005) Programme and Abstracts Book
/ Valencia, Alfonso ; Guigó, Roderic ; Morán, Federico - Madrid, 2005
Skup
4th European Conference on Computational Biology 2005
Mjesto i datum
Madrid, Španjolska, 28.09.2005. - 01.10.2005
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
genome annotation; gene ontology; SVM; protein function; recurrence analysis; yeast; Shewanella oneidensis
Sažetak
Many sequenced genes remain poorly characterized. We utilized an SVM classifier to attempt to recognize Gene Ontology categories for annotated yeast and S. oneidensis genes. Input data for building classifiers consisted of (i) microarray experiments, (ii) codon / amino acid composition and (iii) data gathered by viewing the sequence as a series of amino acid indices and applying time series analysis methods (RQA).
Izvorni jezik
Engleski
Znanstvena područja
Biologija
