NExUS

NExUS (Network Estimation across Unequal Sample sizes) is a Bayesian software tool for jointly estimating multiple biological networks from high-throughput genomics data across heterogeneous subpopulations with varying sample sizes. It addresses the challenge of network estimation and inference when sample sizes differ, which can lead to artefactual relationships between sample size and network sparsity.

Topic

Molecular interactions, pathways and networks;Statistics and probability;Oncology

Detail

  • Operation: Essential dynamics;Network simulation

  • Software interface: Command-line interface

  • Language: MATLAB

  • License: Not stated

  • Cost: Free of charge

  • Version name: -

  • Credit: National Institutes of Health, National Science Foundation, Department of Defense Congressionally Directed Medical Research Programs, MD Anderson, Cancer Prevention and Research Institute of Texas, and Rogel Cancer Center.

  • Input: -

  • Output: -

  • Contact: Christine B Peterson cbpeterson@mdanderson.org

  • Collection: -

  • Maturity: -

Publications

  • NExUS: Bayesian simultaneous network estimation across unequal sample sizes.
  • Das P, et al. NExUS: Bayesian simultaneous network estimation across unequal sample sizes. NExUS: Bayesian simultaneous network estimation across unequal sample sizes. 2020; 36:798-804. doi: 10.1093/bioinformatics/btz636
  • https://doi.org/10.1093/BIOINFORMATICS/BTZ636
  • PMID: 31504175
  • PMC: PMC8215919

Download and documentation

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