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Title: Analysis of correlation-based biomolecular networks from different omics data by fitting stochastic block models

Type Dataset Baum, Katharina, Rajapakse, Jagath C., Azuaje, Francisco (2019): Analysis of correlation-based biomolecular networks from different omics data by fitting stochastic block models. Zenodo. Dataset. https://zenodo.org/record/3363060

Authors: Baum, Katharina (Bioinformatics and Modelling, Luxembourg Institute of Health, and Mathematical Modelling of Cellular Processes, Max Delbrück Center for Molecular Medicine in the Helmholtz Association) ; Rajapakse, Jagath C. (School of Computer Science and Engineering, Nanyang Technological University) ; Azuaje, Francisco (Bioinformatics and Modelling, Luxembourg Institute of Health) ;

Links

Summary

Baum_et_al_2019_Supplementary_Figures.pdf: Supplementary Figures S1-S4. Legends are included under each figure.

sbm-for-correlation-based-networks-master.zip: Archived source code of R and Python functions for the analyses and example workflow description at time of publication. Files are maintained at https://gitlab.com/biomodlih/sbm-for-correlation-based-networks and https://gitlab.com/kabaum/sbm-for-correlation-based-networks.

More information

  • DOI: 10.5281/zenodo.3363060
  • Language: en

Subjects

  • biomolecular networks, edge relevance, missing and spurious edges, network-based omics analysis, weighted stochastic block model

Dates

  • Publication date: 2019
  • Issued: August 08, 2019

Notes

Other: {"references": ["Budczies J, Brockmoller SF, et al. (2013). Comparative metabolomics of estrogen receptor positive and estrogen receptor negative breast cancer: alterations in glutamine and beta-alanine metabolism. J Proteomics. 2013;94:279-88.", "Peixoto TP (2014). The graph-tool python library. 10.6084/m9.figshare.1164194", "Langfelder P, Horvath S. WGCNA (2008): an R package for weighted correlation network analysis. BMC Bioinformatics, 9:559."]}

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Format

electronic resource

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DescriptionItem typeRelationshipUri
IsVersionOfhttps://doi.org/10.5281/zenodo.2586674
IsPartOfhttps://zenodo.org/communities/zenodo