Home ›
Entities
› academia
› Improving mass-univariate analysis of neuroimaging data by modelling important unknown covariates: Application to Epigenome-Wide Association Studies
Improving mass-univariate analysis of neuroimaging data by modelling important unknown covariates: Application to Epigenome-Wide Association Studies
Research article (NeuroImage, 2018) · cited 13× · AI/ML
Improving mass-univariate analysis of neuroimaging data by modelling important unknown covariates: Application to Epigenome-Wide Association Studies
Summary
Improving mass-univariate analysis of neuroimaging data by modelling important unknown covariates: Application to Epigenome-Wide Association Studies is a scholarly article[1].
Key Facts
Improving mass-univariate analysis of neuroimaging data by modelling important unknown covariates: Application to Epigenome-Wide Association Studies's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Improving mass-univariate analysis of neuroimaging data by modelling important unknown covariates: Application to Epigenome-Wide Association Studies. Retrieved May 24, 2026, from https://4ort.xyz/entity/improving-mass-univariate-analysis-of-neuroimaging-data-by-modelling-important-unknown-covariates-application-to-epigeno
MLA“Improving mass-univariate analysis of neuroimaging data by modelling important unknown covariates: Application to Epigenome-Wide Association Studies.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improving-mass-univariate-analysis-of-neuroimaging-data-by-modelling-important-unknown-covariates-application-to-epigeno.
BibTeX@misc{4ortxyz_improving-mass-univariate-analysis-of-neuroimaging-data-by-modelling-important-unknown-covariates-application-to-epigeno_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improving mass-univariate analysis of neuroimaging data by modelling important unknown covariates: Application to Epigenome-Wide Association Studies}}, year = {2026}, url = {https://4ort.xyz/entity/improving-mass-univariate-analysis-of-neuroimaging-data-by-modelling-important-unknown-covariates-application-to-epigeno}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Improving mass-univariate analysis of neuroimaging data by modelling important unknown covariates: Application to Epigenome-Wide Association Studies — https://4ort.xyz/entity/improving-mass-univariate-analysis-of-neuroimaging-data-by-modelling-important-unknown-covariates-application-to-epigeno (retrieved 2026-05-24)
