Published in
Public Library of Science, PLoS ONE, 12(5), p. e14147, 2010
DOI: 10.1371/journal.pone.0014147
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- [www.ncbi.nlm.nih.gov] | PDF
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- [www.researchgate.net] | PDF
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- [www.ncbi.nlm.nih.gov] | PDF
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Gene Regulatory Networks from Multifactorial Perturbations Using Graphical Lasso: Application to the DREAM4 Challenge
Journal article published in 2010 by
Patricia Menéndez 
,
Yiannis A. I. Kourmpetis,
Cajo J. F. ter Braak,
Kourmpetis Ya,
ter Braak Cj,
Fred A. van Eeuwijk,
van Eeuwijk Fa
,
Yiannis A. I. Kourmpetis,
Cajo J. F. ter Braak,
Kourmpetis Ya,
ter Braak Cj,
Fred A. van Eeuwijk,
van Eeuwijk Fa
This paper is made freely available by the publisher.
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Abstract
A major challenge in the field of systems biology consists of predicting gene regulatory networks based on different training data. Within the DREAM4 initiative, we took part in the multifactorial sub-challenge that aimed to predict gene regulatory networks of size 100 from training data consisting of steady-state levels obtained after applying multifactorial perturbations to the original in silico network.