# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "PPInfer" in publications use:'
type: software
license: Artistic-2.0
title: 'PPInfer: Inferring functionally related proteins using protein interaction
  networks'
version: 1.31.0
abstract: Interactions between proteins occur in many, if not most, biological processes.
  Most proteins perform their functions in networks associated with other proteins
  and other biomolecules. This fact has motivated the development of a variety of
  experimental methods for the identification of protein interactions. This variety
  has in turn ushered in the development of numerous different computational approaches
  for modeling and predicting protein interactions. Sometimes an experiment is aimed
  at identifying proteins closely related to some interesting proteins. A network
  based statistical learning method is used to infer the putative functions of proteins
  from the known functions of its neighboring proteins on a PPI network. This package
  identifies such proteins often involved in the same or similar biological functions.
authors:
- family-names: Jung
  given-names: Dongmin
  email: dmdmjung@gmail.com
- family-names: Ge
  given-names: Xijin
repository: https://bioc.r-universe.dev
date-released: '2022-11-17'
contact:
- family-names: Jung
  given-names: Dongmin
  email: dmdmjung@gmail.com