Format

Send to

Choose Destination
See comment in PubMed Commons below
Bioinformatics. 2006 Feb 15;22(4):477-84. Epub 2005 Dec 6.

Least absolute regression network analysis of the murine osteoblast differentiation network.

Author information

  • 1Department of Mediametics, Delft University of Technology, 2600 GA Delft, The Netherlands. E.P.vanSomeren@tudelft.nl

Abstract

MOTIVATION:

We propose a reverse engineering scheme to discover genetic regulation from genome-wide transcription data that monitors the dynamic transcriptional response after a change in cellular environment. The interaction network is estimated by solving a linear model using simultaneous shrinking of the least absolute weights and the prediction error.

RESULTS:

The proposed scheme has been applied to the murine C2C12 cell-line stimulated to undergo osteoblast differentiation. Results show that our method discovers genetic interactions that display significant enrichment of co-citation in literature. More detailed study showed that the inferred network exhibits properties and hypotheses that are consistent with current biological knowledge.

PMID:
16332709
DOI:
10.1093/bioinformatics/bti816
[PubMed - indexed for MEDLINE]
Free full text
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Full text links

    Icon for HighWire
    Loading ...
    Support Center