期刊
STATISTICAL APPLICATIONS IN GENETICS AND MOLECULAR BIOLOGY
卷 9, 期 1, 页码 -出版社
WALTER DE GRUYTER GMBH
DOI: 10.2202/1544-6115.1519
关键词
biological networks; vector auto-regressive model; LASSO
资金
- French Agence Nationale de la Recherche [NeMo ANR-08-BLAN-0304-01]
We present a weighted-LASSO method to infer the parameters of a first-order vector auto-regressive model that describes time course expression data generated by directed gene-to-gene regulation networks. These networks are assumed to own prior internal structures of connectivity which drive the inference method. This prior structure can be either derived from prior biological knowledge or inferred by the method itself. We illustrate the performance of this structure-based penalization both on synthetic data and on two canonical regulatory networks (the yeast cell cycle regulation network and the E. coli S.O.S. DNA repair network).
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