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Inference of Gene Regulatory Networks from Genetic Perturbations with Linear Regression Model
It is an effective strategy to use both genetic perturbation data and gene expression data to infer regulatory networks that aims to improve the detection accuracy of the regulatory relationships among genes. Based on both types of data, the genetic regulatory networks can be accurately modeled by S...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2013
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3871530/ https://www.ncbi.nlm.nih.gov/pubmed/24376676 http://dx.doi.org/10.1371/journal.pone.0083263 |