Graph Theoretic Concepts as the Building Blocks for Disease Initiation and Progression at Protein Network Level: Identification and Challenges Conference

Mondal, Ananda Mohan, Schultz, Cornelia Ada, Sheppard, Markea et al. (2018). Graph Theoretic Concepts as the Building Blocks for Disease Initiation and Progression at Protein Network Level: Identification and Challenges . 2017 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM), 2713-2719.

cited authors

  • Mondal, Ananda Mohan; Schultz, Cornelia Ada; Sheppard, Markea; Carson, Jasmine; Tanvir, Raihanul Bari; Aqila, Tasmia

sustainable development goals

authors

date/time interval

  • December 3, 2018 -

publication date

  • January 1, 2018

published in

keywords

  • BIOMARKERS
  • Computer Science
  • Computer Science, Interdisciplinary Applications
  • DIFFUSION KERNEL
  • EARLY-WARNING SIGNALS
  • Life Sciences & Biomedicine
  • MODELS
  • Mathematical & Computational Biology
  • Science & Technology
  • Technology
  • bipartite graph
  • clique
  • diffusion kernel
  • disease progression
  • protein network

Location

  • SPAIN, Madrid

Conference

  • IEEE International Conference on Bioinformatics and Biomedicine (BIBM) - Human Genomics

publisher

  • IEEE

start page

  • 2713

end page

  • 2719