Genetic dissection of complex traits using hierarchical biological knowledge

Despite the growing constellation of genetic loci linked to common traits, these loci have yet to account for most heritable variation, and most act through poorly understood mechanisms. Recent machine learning (ML) systems have used hierarchical biological knowledge to associate genetic mutations w...

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Bibliographic Details
Main Authors:	Ideker, T. (Author), Kreisberg, J.F (Author), Tanaka, H. (Author)
Format:	Article
Language:	English
Published:	Public Library of Science 2021
Subjects:	Article benomyl Benomyl biological model biology chromosomal mapping Chromosome Mapping Computational Biology controlled study copper Copper drug effect fatty acid fatty acid metabolism gene gene locus gene ontology Gene Ontology genetic analysis genetic trait genetics genome-wide association study Genome-Wide Association Study glucose Glucose glycine Glycine hydroxyurea Hydroxyurea knowledge base Knowledge Bases machine learning Machine Learning Metabolic Networks and Pathways metabolism Models, Genetic multifactorial inheritance Multifactorial Inheritance mutation Mutation Neural Networks, Computer nonhuman nucleotidyltransferase Nucleotidyltransferases phenotype Phenotype phenotypic variation Polymorphism, Single Nucleotide population genetics procedures purine purine synthesis reactive oxygen metabolite Saccharomyces cerevisiae single nucleotide polymorphism systems biology Systems Biology UDPacetylglucosamine pyrophosphorylase yeast
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Genetic dissection of complex traits using hierarchical biological knowledge

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