KAML: improving genomic prediction accuracy of complex traits using machine learning determined parameters
نویسندگان
چکیده
منابع مشابه
Regularized Machine Learning in the Genetic Prediction of Complex Traits
Compared to univariate analysis of genome-wide association (GWA) studies, machine learning–based models have been shown to provide improved means of learning such multilocus panels of genetic variants and their interactions that are most predictive of complex phenotypic traits. Many applications of predictive modeling rely on effective variable selection, often implemented through model regular...
متن کاملImproving Orbit Prediction Accuracy through Supervised Machine Learning
Due to the lack of information such as the space environment condition and resident space objects’ (RSOs’) body characteristics, current orbit predictions that are solely grounded on physics-based models may fail to achieve required accuracy for collision avoidance and have led to satellite collisions already. This paper presents a methodology to predict RSOs’ trajectories with higher accuracy ...
متن کاملImputation of parent-offspring trios and their effect on accuracy of genomic prediction using Bayesian method
The objective of this study was to evaluate the imputation accuracy of parent-offspring trios under different scenarios. By using simulated datasets, the performance Bayesian LASSO in genomic prediction was also examined. The genome consisted of 5 chromosomes and each chromosome was set as 1 Morgan length. The number of SNPs per chromosome was 10000. One hundred QTLs were randomly distributed a...
متن کاملImproving Protein Interactions Prediction Using Machine Learning and Visual Analytics
By Mudita Singhal, Ph.D. Washington State University December 2007 Chair: John H. Miller The response of biological systems to external stimuli is ruled by their cellular interaction networks. This makes the problem of inferring cellular interaction networks essential to decipher the basic operational principles of biological systems. Knowing which proteins exist in a certain organism or cell t...
متن کاملImproving the Accuracy of Whole Genome Prediction for Complex Traits Using the Results of Genome Wide Association Studies
Utilizing the whole genomic variation of complex traits to predict the yet-to-be observed phenotypes or unobserved genetic values via whole genome prediction (WGP) and to infer the underlying genetic architecture via genome wide association study (GWAS) is an interesting and fast developing area in the context of human disease studies as well as in animal and plant breeding. Though thousands of...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Genome Biology
سال: 2020
ISSN: 1474-760X
DOI: 10.1186/s13059-020-02052-w