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A robust gene regulatory network inference method base on Kalman filter and linear regression
The reconstruction of the topology of gene regulatory networks (GRNs) using high throughput genomic data such as microarray gene expression data is an important problem in systems biology. The main challenge in gene expression data is the high number of genes and low number of samples; also the data...
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| Publicado no: | PLoS One |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6044105/ https://ncbi.nlm.nih.gov/pubmed/30001352 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0200094 |
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