相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Factors Affecting the Accuracy of Genomic Selection for Agricultural Economic Traits in Maize, Cattle, and Pig Populations
Haohao Zhang et al.
FRONTIERS IN GENETICS (2019)
A Benchmarking Between Deep Learning, Support Vector Machine and Bayesian Threshold Best Linear Unbiased Prediction for Predicting Ordinal Traits in Plant Breeding
Osval A. Montesinos-Lopez et al.
G3-GENES GENOMES GENETICS (2019)
Statistical and Machine Learning forecasting methods: Concerns and ways forward
Spyros Makridakis et al.
PLOS ONE (2018)
Applications of Machine Learning Methods to Genomic Selection in Breeding Wheat for Rust Resistance
Juan Manuel Gonzalez-Camacho et al.
PLANT GENOME (2018)
Applications of Support Vector Machine (SVM) Learning in Cancer Genomics
Shujun Huang et al.
CANCER GENOMICS & PROTEOMICS (2018)
'pDHS-SVM: A prediction method for plant DNase I hypersensitive sites based on support vector machine
Shanxin Zhang et al.
JOURNAL OF THEORETICAL BIOLOGY (2017)
Genomic prediction unifies animal and plant breeding programs to form platforms for biological discovery
John M. Hickey et al.
NATURE GENETICS (2017)
Genomic Selection in Plant Breeding: Methods, Models, and Perspectives
Jose Crossa et al.
TRENDS IN PLANT SCIENCE (2017)
Application of Artificial Neural Network and Support Vector Machines in Predicting Metabolizable Energy in Compound Feeds for Pigs.
Hamed Ahmadi et al.
FRONTIERS IN NUTRITION (2017)
Genomic Prediction of Single Crosses in the Early Stages of a Maize Hybrid Breeding Pipeline
Dnyaneshwar C. Kadam et al.
G3-GENES GENOMES GENETICS (2016)
Genomic Selection in the Era of Next Generation Sequencing for Complex Traits in Plant Breeding
Javaid A. Bhat et al.
FRONTIERS IN GENETICS (2016)
Simultaneous Discovery, Estimation and Prediction Analysis of Complex Traits Using a Bayesian Mixture Model
Gerhard Moser et al.
PLOS GENETICS (2015)
Genomic selection needs to be carefully assessed to meet specific requirements in livestock breeding programs
Elisabeth Jonas et al.
FRONTIERS IN GENETICS (2015)
Genomic-enabled prediction with classification algorithms
L. Ornella et al.
HEREDITY (2014)
The Construction of Risk Prediction Models Using GWAS Data and Its Application to a Type 2 Diabetes Prospective Cohort
Daichi Shigemizu et al.
PLOS ONE (2014)
Genomic selection: genome-wide prediction in plant improvement
Zeratsion Abera Desta et al.
TRENDS IN PLANT SCIENCE (2014)
Kernel-based whole-genome prediction of complex traits: a review
Gota Morota et al.
FRONTIERS IN GENETICS (2014)
Finding the sources of missing heritability in a yeast cross
Joshua S. Bloom et al.
NATURE (2013)
Accuracy of Genomic Selection Methods in a Standard Data Set of Loblolly Pine (Pinus taeda L.)
M. F. R. Resende et al.
GENETICS (2012)
A Common Dataset for Genomic Analysis of Livestock Populations
Matthew A. Cleveland et al.
G3-GENES GENOMES GENETICS (2012)
LIBSVM: A Library for Support Vector Machines
Chih-Chung Chang et al.
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY (2011)
Common SNPs explain a large proportion of the heritability for human height
Jian Yang et al.
NATURE GENETICS (2010)
Plant Breeding with Genomic Selection: Gain per Unit Time and Cost
Elliot L. Heffner et al.
CROP SCIENCE (2010)
The Genetic Architecture of Maize Flowering Time
Edward S. Buckler et al.
SCIENCE (2009)
The impact of genetic relationship information on genome-assisted breeding values
D. Habier et al.
GENETICS (2007)
What is a support vector machine?
William S. Noble
NATURE BIOTECHNOLOGY (2006)
Strategy for applying genome-wide selection in dairy cattle
L. R. Schaeffer
JOURNAL OF ANIMAL BREEDING AND GENETICS (2006)