A novel application of mixing coefficients for reverse-engineering gene interaction networks

Nitin Singh, M. Eren Ahsen, Shiva Mankala, M. Vidyasagar, Michael A. White

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

1 Scopus citations

Abstract

In this paper, we present a new application of the so-called phi-mixing coefficient between two random variables. Using the phi-mixing coefficient, as well as an analog of the well-known data processing inequality from information theory, we present a new algorithm for reverse-engineering gene interaction networks (GINs) from expression data, by viewing the expression levels of various genes as coupled random variables. Unlike existing methods, the GINs constructed using the algorithm presented here have edges that are both directed and weighted. Thus it is possible to infer both the direction as well as the strength of the interaction between genes. Several GINs have been constructed for various data sets in lung and ovarian cancer. One of the lung cancer networks is validated by comparing its predictions against the output of ChIP-seq data.

Original languageEnglish (US)
Title of host publication2012 50th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2012
Pages1461-1466
Number of pages6
DOIs
StatePublished - Dec 1 2012
Event2012 50th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2012 - Monticello, IL, United States
Duration: Oct 1 2012Oct 5 2012

Publication series

Name2012 50th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2012

Other

Other2012 50th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2012
CountryUnited States
CityMonticello, IL
Period10/1/1210/5/12

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications

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    Singh, N., Ahsen, M. E., Mankala, S., Vidyasagar, M., & White, M. A. (2012). A novel application of mixing coefficients for reverse-engineering gene interaction networks. In 2012 50th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2012 (pp. 1461-1466). [6483391] (2012 50th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2012). https://doi.org/10.1109/Allerton.2012.6483391