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Inferring Gene Regulatory Networks Using Conditional Regulation Pattern to Guide Candidate Genes
Combining path consistency (PC) algorithms with conditional mutual information (CMI) are widely used in reconstruction of gene regulatory networks. CMI has many advantages over Pearson correlation coefficient in measuring non-linear dependence to infer gene regulatory networks. It can also discrimin...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4865039/ https://www.ncbi.nlm.nih.gov/pubmed/27171286 http://dx.doi.org/10.1371/journal.pone.0154953 |