Cargando…
Novel applications of multitask learning and multiple output regression to multiple genetic trait prediction
Given a set of biallelic molecular markers, such as SNPs, with genotype values encoded numerically on a collection of plant, animal or human samples, the goal of genetic trait prediction is to predict the quantitative trait values by simultaneously modeling all marker effects. Genetic trait predicti...
Autores principales: | He, Dan, Kuhn, David, Parida, Laxmi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4908333/ https://www.ncbi.nlm.nih.gov/pubmed/27307640 http://dx.doi.org/10.1093/bioinformatics/btw249 |
Ejemplares similares
-
Fast metabolite identification with Input Output Kernel Regression
por: Brouard, Céline, et al.
Publicado: (2016) -
Classifying and segmenting microscopy images with deep multiple instance learning
por: Kraus, Oren Z., et al.
Publicado: (2016) -
What time is it? Deep learning approaches for circadian rhythms
por: Agostinelli, Forest, et al.
Publicado: (2016) -
DrugE-Rank: improving drug–target interaction prediction of new candidate drugs or targets by ensemble learning to rank
por: Yuan, Qingjun, et al.
Publicado: (2016) -
Comparative analyses of population-scale phenomic data in electronic medical records reveal race-specific disease networks
por: Glicksberg, Benjamin S., et al.
Publicado: (2016)