AIMC Topic: Quantitative Trait Loci

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Combining semi-automated image analysis techniques with machine learning algorithms to accelerate large-scale genetic studies.

GigaScience Oct 1, 2017
Genetic analyses of plant root systems require large datasets of extracted architectural traits. To quantify such traits from images of root systems, researchers often have to choose between automated tools (that are prone to error and extract only a...
Machine Learning Algorithms Image Processing, Computer-Assisted Seedlings Plant Roots Triticum Quantitative Trait Loci
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Deep machine learning provides state-of-the-art performance in image-based plant phenotyping.

GigaScience Oct 1, 2017
In plant phenotyping, it has become important to be able to measure many features on large image sets in order to aid genetic discovery. The size of the datasets, now often captured robotically, often precludes manual inspection, hence the motivation...
Machine Learning Phenotype Plant Roots Triticum Plants Plant Shoots Quantitative Trait Loci
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Novel applications of multitask learning and multiple output regression to multiple genetic trait prediction.

Bioinformatics (Oxford, England) Jun 15, 2016
UNLABELLED: 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 simu...
Humans Machine Learning Algorithms Phenotype Animals Polymorphism, Single Nucleotide Genotype Models, Genetic Plants Linear Models Quantitative Trait Loci
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