Cargando…
Leveraging vibration of effects analysis for robust discovery in observational biomedical data science
Hypothesis generation in observational, biomedical data science often starts with computing an association or identifying the statistical relationship between a dependent and an independent variable. However, the outcome of this process depends fundamentally on modeling strategy, with differing stra...
Autores principales: | Tierney, Braden T., Anderson, Elizabeth, Tan, Yingxuan, Claypool, Kajal, Tangirala, Sivateja, Kostic, Aleksandar D., Manrai, Arjun K., Patel, Chirag J. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8510627/ https://www.ncbi.nlm.nih.gov/pubmed/34555021 http://dx.doi.org/10.1371/journal.pbio.3001398 |
Ejemplares similares
-
Prioritization of COVID-19 risk factors in July 2020 and February 2021 in the UK
por: Tangirala, Sivateja, et al.
Publicado: (2023) -
Systematically assessing microbiome–disease associations identifies drivers of inconsistency in metagenomic research
por: Tierney, Braden T., et al.
Publicado: (2022) -
Gene-level metagenomic architectures across diseases yield high-resolution microbiome diagnostic indicators
por: Tierney, Braden T., et al.
Publicado: (2021) -
Aether: leveraging linear programming for optimal cloud computing in genomics
por: Luber, Jacob M, et al.
Publicado: (2018) -
Integrated Analysis of Gene Expression Differences in Twins Discordant for Disease and Binary Phenotypes
por: Tangirala, Sivateja, et al.
Publicado: (2018)