Abstract:
: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).
journal_name
Stat Appl Genet Mol Biolauthors
Charbonnier C,Chiquet J,Ambroise Cdoi
10.2202/1544-6115.1519subject
Has Abstractpub_date
2010-01-01 00:00:00pages
Article 15eissn
2194-6302issn
1544-6115journal_volume
9pub_type
杂志文章abstract::There has been increasing interest in predicting patients' survival after therapy by investigating gene expression microarray data. In the regression and classification models with high-dimensional genomic data, boosting has been successfully applied to build accurate predictive models and conduct variable selection s...
journal_title:Statistical applications in genetics and molecular biology
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journal_title:Statistical applications in genetics and molecular biology
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journal_title:Statistical applications in genetics and molecular biology
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journal_title:Statistical applications in genetics and molecular biology
pub_type: 杂志文章
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更新日期:2007-01-01 00:00:00
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journal_title:Statistical applications in genetics and molecular biology
pub_type: 杂志文章
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journal_title:Statistical applications in genetics and molecular biology
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journal_title:Statistical applications in genetics and molecular biology
pub_type: 杂志文章
doi:10.2202/1544-6115.1048
更新日期:2004-01-01 00:00:00
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journal_title:Statistical applications in genetics and molecular biology
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journal_title:Statistical applications in genetics and molecular biology
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journal_title:Statistical applications in genetics and molecular biology
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journal_title:Statistical applications in genetics and molecular biology
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更新日期:2011-10-04 00:00:00
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journal_title:Statistical applications in genetics and molecular biology
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