Article

Directional integration and pathway enrichment analysis for multi-omics data

2023-09-24

Abstract excerpt

<h4>ABSTRACT</h4> Omics techniques generate comprehensive profiles of biomolecules in cells and tissues. However, a holistic understanding of the data requires joint multi-omics analyses that are challenging. Here we present DPM, a data fusion method for combining multiple omics datasets using directionality and significance estimates of genes, transcripts, or proteins. DPM allows users to define how the input da...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 4740fba1-d88d-5c1e-9b92-79973906dd80
DOI: 10.1101/2023.09.23.559116

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Directional integration and pathway enrichment analysis for multi-omics dataDOI 10.1101/2023.09.23.559116Read

Integrative pathway enrichment analysis of multivariate omics dataSemantic proximity Read

Integrative pathway enrichment analysis of multivariate omics data.Semantic proximity Read

PIMO: Pathway-based Interpretable Multi-Omics interactions for multi-omics integrationSemantic proximity Read

Integration of Gene Expression and DNA Methylation Data Across Different ExperimentsSemantic proximity Read

MOPA: An integrative multi-omics pathway analysis method for measuring omics activitySemantic proximity Read

Multi-Omics factor analysis - a framework for unsupervised integration of multi-omic data setsSemantic proximity Read

Individualized multi-omic pathway deviation scores using multiple factor analysisSemantic proximity Read

MPAC: a computational framework for inferring pathway activities from multi-omic dataSemantic proximity Read

Vertical and horizontal integration of multi-omics data with miodinSemantic proximity Read

Mergeomics: a web server for identifying pathological pathways, networks, and key regulators via multidimensional data integrationSemantic proximity Read

An integrated analysis of the cancer genome atlas data discovers a hierarchical association structure across thirty three cancer typesSemantic proximity Read

InterTADs: Integration of Multi-Omics Data on Topological Associated DomainsSemantic proximity Read