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Updated: Jun 27, 2026
Stimulation of Notch Signaling in Mouse Osteoclast Precursors
Published on: February 28, 2017
Least absolute regression network analysis of the murine osteoblast differentiation network
E P van Someren1, B L T Vaes, W T Steegenga
1Department of Mediametics, Delft University of Technology, 2600 GA Delft, The Netherlands. E.P.vanSomeren@tudelft.nl
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.
