Sign in
BioinformaticsbioRxiv
Preprint

xMWAS: an R package for data-driven integration and differential network analysis

Karan UppaliD, Young‐Mi GoiD, Dean P. JonesiD

Abstract

SummaryIntegrative omics is a central component of most systems biology studies. Computational methods are required for extracting meaningful relationships across different omics layers. Various tools have been developed to facilitate integration of paired heterogenous omics data; however most existing tools allow integration of only two omics datasets. Further-more, existing data integration tools do not incorporate additional steps of identifying sub-networks or communities of highly connected entities and evaluating the topology of the integrative network under different conditions. Here we present xMWAS, an R package for data integration, network visualization, clustering, differential network analysis of data from biochemical and phenotypic assays, and two or more omics platforms.\n\nAvailabilityhttps://sourceforge.net/projects/xmwas/\n\nContactkuppal2@emory.edu

PDFDOICode

02 /Specification & Classification

Click any tag to browse matching papers

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISPan '19Zoppi '21Rohart '17Chen '26Wandy '21Auer '22
69% semantic matchBioinformatics
Jianbo Pan, Jiang X. Qian, Hui Zhang·bioRxiv·Sep 10, 2019· 2 citations