Smccnet 2.0: a comprehensive tool for multi-omics network inference with shiny visualization
Author:
Funder
National Institutes of Health
National Heart, Lung, and Blood Institute
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1186/s12859-024-05900-9.pdf
Reference31 articles.
1. Hasin Y, Seldin M, Lusis A. Multi-omics approaches to disease. Genome Biol. 2017;18:1–15.
2. Argelaguet R, Velten B, Arnol D, Dietrich S, Zenz T, Marioni JC, Buettner F, Huber W, Stegle O. Multi-omics factor analysis-a framework for unsupervised integration of multi-omics data sets. Mol Syst Biol. 2018;14(6):8124.
3. Argelaguet R, Arnol D, Bredikhin D, Deloro Y, Velten B, Marioni JC, Stegle O. Mofa+: a statistical framework for comprehensive integration of multi-modal single-cell data. Genome Biol. 2020;21:1–17.
4. Hawe JS, Theis FJ, Heinig M. Inferring interaction networks from multi-omics data. Front Genet. 2019;10:535.
5. Henao JD, Lauber M, Azevedo M, Grekova A, Theis F, List M, Ogris C, Schubert B. Multi-omics regulatory network inference in the presence of missing data. Brief Bioinform. 2023;24(5):309.
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