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A Kalman-Filter Based Approach to Identification of Time-Varying Gene Regulatory Networks
MOTIVATION: Conventional identification methods for gene regulatory networks (GRNs) have overwhelmingly adopted static topology models, which remains unchanged over time to represent the underlying molecular interactions of a biological system. However, GRNs are dynamic in response to physiological...
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| 主要な著者: | , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Public Library of Science
2013
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3792119/ https://ncbi.nlm.nih.gov/pubmed/24116005 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0074571 |
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