Cargando…
Exploiting ontology graph for predicting sparsely annotated gene function
Motivation: Systematically predicting gene (or protein) function based on molecular interaction networks has become an important tool in refining and enhancing the existing annotation catalogs, such as the Gene Ontology (GO) database. However, functional labels with only a few (<10) annotated gen...
Autores principales: | Wang, Sheng, Cho, Hyunghoon, Zhai, ChengXiang, Berger, Bonnie, Peng, Jian |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4542782/ https://www.ncbi.nlm.nih.gov/pubmed/26072504 http://dx.doi.org/10.1093/bioinformatics/btv260 |
Ejemplares similares
-
MeSHLabeler: improving the accuracy of large-scale MeSH indexing by integrating diverse evidence
por: Liu, Ke, et al.
Publicado: (2015) -
Metabolome-scale de novo pathway reconstruction using regioisomer-sensitive graph alignments
por: Yamanishi, Yoshihiro, et al.
Publicado: (2015) -
Adapt-Mix: learning local genetic correlation structure improves summary statistics-based analyses
por: Park, Danny S., et al.
Publicado: (2015) -
Large-scale model quality assessment for improving protein tertiary structure prediction
por: Cao, Renzhi, et al.
Publicado: (2015) -
PAGER: constructing PAGs and new PAG–PAG relationships for network biology
por: Yue, Zongliang, et al.
Publicado: (2015)