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Article

MANOCCA: a robust and computationally efficient test of covariance in high-dimension multivariate omics data.

Briefings in bioinformatics - 23 May 2024

Boetto Christophe, Frouin Arthur, Henches Léo, Auvergne Antoine, Suzuki Yuka, Patin Etienne, Bredon Marius, Chiu Alec, Consortium Milieu Interieur, Sankararaman Sriram, Zaitlen Noah, Kennedy Sean P, Quintana-Murci Lluis, Duffy Darragh, Sokol Harry, Aschard Hugues

Abstract excerpt

Multivariate analysis is becoming central in studies investigating high-throughput molecular data, yet, some important features of these data are seldom explored. Here, we present MANOCCA (Multivariate Analysis of Conditional CovAriance), a powerful method to test for the effect of a predictor on the covariance matrix of a multivariate outcome. The proposed test is by construction orthogonal to tests based on the...

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Identifiers

PMID: 38856173
DOI: 10.1093/bib/bbae272
PMCID: PMC11163461

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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