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Reverse Engineering Sparse Gene Regulatory Networks Using Cubature Kalman Filter and Compressed Sensing

This paper proposes a novel algorithm for inferring gene regulatory networks which makes use of cubature Kalman filter (CKF) and Kalman filter (KF) techniques in conjunction with compressed sensing methods. The gene network is described using a state-space model. A nonlinear model for the evolution...

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書誌詳細
主要な著者: Noor, Amina, Serpedin, Erchin, Nounou, Mohamed, Nounou, Hazem
フォーマット: Artigo
言語:Inglês
出版事項: Hindawi Publishing Corporation 2013
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC3664478/
https://ncbi.nlm.nih.gov/pubmed/23737768
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2013/205763
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