Gene-set distance analysis (GSDA): a powerful tool for gene-set association analysis

Gene-set distance analysis (GSDA): a powerful tool for gene-set association analysis

Background: Identifying sets of related genes (gene sets) that are empirically associated with a treatment or phenotype often yields valuable biological insights. Several methods effectively identify gene sets in which individual genes have simple monotonic relationships with categorical, quantitati...

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Bibliographic Details
Main Authors: Cao, X. (Author), Pounds, S. (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
Acute myeloid leukemia
Association analysis
Backward elimination
Biological insight
child
Child
cohort analysis
Cohort Studies
computer simulation
Computer Simulation
Digital storage
Distance correlation
Distance-based methods
gene expression profiling
Gene Expression Profiling
Gene profiling
Gene set
Genes
genetic screening
Genetic Testing
human
Humans
Monotone association
phenotype
Phenotype
Quantitative variables
Simulation studies
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