ATria: A novel centrality algorithm applied to biological networks

Trevor Cickovski, Eli Peake, Vanessa Aguiar-Pulido, Giri Narasimhan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Large-scale biological networks such as gene regulatory [1] and PPI [2] have become commonplace through systems biology. Figure 1 shows a microbial social network [3], which attempts to infer interactions between microbes within a community from metagenomics studies. In particular this is a co-occurence network [4], where green/red edges respectively represent positive/negative correlations, or how strongly two bacterial taxa tend to co-infect samples.

Original languageEnglish (US)
Title of host publication2015 IEEE 5th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467396639
DOIs
StatePublished - Dec 2 2015
Externally publishedYes
Event5th IEEE International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2015 - Miami, United States
Duration: Oct 15 2015Oct 17 2015

Publication series

Name2015 IEEE 5th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2015

Conference

Conference5th IEEE International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2015
Country/TerritoryUnited States
CityMiami
Period10/15/1510/17/15

ASJC Scopus subject areas

  • Biotechnology
  • Computer Science Applications
  • Computational Mathematics
  • Medicine (miscellaneous)

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