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Ning et al., 2019 - Google Patents

Efficient multivariate analysis algorithms for longitudinal genome-wide association studies

Ning et al., 2019

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Document ID
4439253446745942973
Author
Ning C
Wang D
Zhou L
Wei J
Liu Y
Kang H
Zhang S
Zhou X
Xu S
Liu J
Publication year
Publication venue
Bioinformatics

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Motivation Current dynamic phenotyping system introduces time as an extra dimension to genome-wide association studies (GWAS), which helps to explore the mechanism of dynamical genetic control for complex longitudinal traits. However, existing methods for …
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    • G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
    • G06F19/18—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for functional genomics or proteomics, e.g. genotype-phenotype associations, linkage disequilibrium, population genetics, binding site identification, mutagenesis, genotyping or genome annotation, protein-protein interactions or protein-nucleic acid interactions
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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