Cargando…
In silico phenotyping via co-training for improved phenotype prediction from genotype
Motivation: Predicting disease phenotypes from genotypes is a key challenge in medical applications in the postgenomic era. Large training datasets of patients that have been both genotyped and phenotyped are the key requisite when aiming for high prediction accuracy. With current genotyping project...
Autores principales: | Roqueiro, Damian, Witteveen, Menno J., Anttila, Verneri, Terwindt, Gisela M., van den Maagdenberg, Arn M.J.M., Borgwardt, Karsten |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4765855/ https://www.ncbi.nlm.nih.gov/pubmed/26072497 http://dx.doi.org/10.1093/bioinformatics/btv254 |
Ejemplares similares
-
Genome-wide detection of intervals of genetic heterogeneity associated with complex traits
por: Llinares-López, Felipe, et al.
Publicado: (2015) -
Comparing genomes with rearrangements and segmental duplications
por: Shao, Mingfu, et al.
Publicado: (2015) -
Deconvolving molecular signatures of interactions between microbial colonies
por: Harn, Y.-C., et al.
Publicado: (2015) -
Cypiripi: exact genotyping of CYP2D6 using high-throughput sequencing data
por: Numanagić, Ibrahim, et al.
Publicado: (2015) -
PAGER: constructing PAGs and new PAG–PAG relationships for network biology
por: Yue, Zongliang, et al.
Publicado: (2015)