About: KAML: improving genomic prediction accuracy of complex traits using machine learning determined parameters

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: KAML: improving genomic prediction accuracy of complex traits using machine learning determined parameters Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	KAML: improving genomic prediction accuracy of complex traits using machine learning determined parameters
Creator	Zhou, Xiang Liu, Xiaolei Li, Xinyun Zhao, Shuhong Yuan, Xiaohui Yin, Lilin Zhang, Haohao
source	PMC
abstract	Advances in high-throughput sequencing technologies have reduced the cost of genotyping dramatically and led to genomic prediction being widely used in animal and plant breeding, and increasingly in human genetics. Inspired by the efficient computing of linear mixed model and the accurate prediction of Bayesian methods, we propose a machine learning-based method incorporating cross-validation, multiple regression, grid search, and bisection algorithms named KAML that aims to combine the advantages of prediction accuracy with computing efficiency. KAML exhibits higher prediction accuracy than existing methods, and it is available at https://github.com/YinLiLin/KAML.
has issue date	2020-06-17(xsd:dateTime)
bibo:doi	10.1186/s13059-020-02052-w
bibo:pmid	32552725
has license	cc-by
sha1sum (hex)	a968e22b1299d89c5d18a43f87d750c671d13540
schema:url	https://doi.org/10.1186/s13059-020-02052-w
resource representing a document's title	KAML: improving genomic prediction accuracy of complex traits using machine learning determined parameters
has PubMed Central identifier	PMC7386246
has PubMed identifier	32552725
schema:publication	Genome Biol
resource representing a document's body	covid:a968e22b1299d89c5d18a43f87d750c671d13540#body_text
is schema:about of	named entity 'bisection' named entity 'genomic' named entity 'BAYESIAN METHODS' named entity 'USED' named entity 'efficiency' named entity 'animal' named entity 'technologies' named entity 'accurate' named entity 'genotyping' named entity 'computing' named entity 'plant breeding' named entity 'genotyping' named entity 'machine learning' named entity 'SNPs' named entity 'machine learning' named entity 'phenotypes' named entity 'chi-square distribution' named entity 'cross-validation' named entity 'SNPs' named entity 'SNPs' named entity 'LMM' named entity 'chromosome' named entity 'genetic markers' named entity 'KAML' named entity 'LMM' named entity 'polygenic' named entity 'SNPs' named entity 'phenotypic variance' named entity 'cross-validation' named entity 'LMM' named entity 'LMM' named entity 'sequencing technologies' named entity 'prior knowledge' named entity '3, 4' named entity 'MCMC' named entity 'cross-validation' named entity 'KAML' named entity 'SNPs' named entity 'coefficient matrix' named entity 'GWAS' named entity 'SNPs' named entity 'KAML' named entity 'Kinship' named entity 'GBS' named entity 'SNPs' named entity 'genotyping' named entity 'MCMC' named entity 'LMM' named entity 'cross-validation' named entity 'cattle' named entity 'GWAS' named entity 'machine learning' named entity 'normal distribution' named entity 'Kinship' named entity 'KAML' named entity 'vector' named entity 'genotype' named entity 'KAML' named entity 'SNPs' named entity 'SNPs' named entity 'KAML' named entity 'genotyped' named entity 'domestic horse' named entity 'genetic markers' named entity 'MCMC' named entity 'SNPs' named entity 'long time' named entity 'human diseases' named entity 'reference sample' named entity 'ssk' named entity 'genetic architecture' named entity 'QTLs' named entity 'KAML' named entity 'genotyped' named entity 'genomic selection'

Faceted Search & Find service v1.13.91 as of Mar 24 2020

Alternative Linked Data Documents: Sponger | ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2025 OpenLink Software