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/2620419

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

• Item record in Zenodo
• Digital object URL

Summary

Baum_et_al_2019_Supplementary_Figures.pdf: Supplementary Figures S1 and S2. 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.2620419
• Language: en

Subjects

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

Dates

• Publication date: 2019
• Issued: April 02, 2019

Notes

Rights

• https://creativecommons.org/licenses/by/4.0/legalcode Creative Commons Attribution 4.0 International
• info:eu-repo/semantics/openAccess Open Access

Format

electronic resource

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