Cargando…
Predicting gene function using few positive examples and unlabeled ones
BACKGROUND: A large amount of functional genomic data have provided enough knowledge in predicting gene function computationally, which uses known functional annotations and relationship between unknown genes and known ones to map unknown genes to GO functional terms. The prediction procedure is usu...
Autores principales: | Chen, Yiming, Li, Zhoujun, Wang, Xiaofeng, Feng, Jiali, Hu, Xiaohua |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2010
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2975410/ https://www.ncbi.nlm.nih.gov/pubmed/21047378 http://dx.doi.org/10.1186/1471-2164-11-S2-S11 |
Ejemplares similares
-
Gene function prediction using labeled and unlabeled data
por: Zhao, Xing-Ming, et al.
Publicado: (2008) -
ProDiGe: Prioritization Of Disease Genes with multitask machine learning from positive and unlabeled examples
por: Mordelet, Fantine, et al.
Publicado: (2011) -
Positive-Unlabeled Learning for Pupylation Sites Prediction
por: Jiang, Ming, et al.
Publicado: (2016) -
Positive-unlabeled learning for disease gene identification
por: Yang, Peng, et al.
Publicado: (2012) -
Ensemble Positive Unlabeled Learning for Disease Gene Identification
por: Yang, Peng, et al.
Publicado: (2014)