Inferring functional communities from partially observed biological networks exploiting geometric topology and side information

HIGHLIGHTS

  • who: Jayson Sia from the University of have published the research: Inferring functional communities from partially observed biological networks exploiting geometric topology and side information, in the Journal: Scientific Reports Scientific Reports of 18/05/2022
  • what: The authors focus on the Auxin signaling communities detected by ORC-based methods which showed the highest variation compared with the AI-1MAIN baseline community (16 members, Fig 5d-g, Tables 1, 2). To mitigate this limitation, the authors propose that using a subset of extensively studied proteins, whose biological function is documented, to guide community detection, the . . .

     

    Logo ScioWire Beta black

    If you want to have access to all the content you need to log in!

    Thanks :)

    If you don't have an account, you can create one here.

     

Scroll to Top

Add A Knowledge Base Question !

+ = Verify Human or Spambot ?