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Robust discovery of gene regulatory networks from single-cell gene expression data by Causal Inference Using Composition of Transactions
Gene regulatory networks (GRNs) drive organism structure and functions, so the discovery and characterization of GRNs is a major goal in biological research. However, accurate identification of causal regulatory connections and inference of GRNs using gene expression datasets, more recently from sin...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10612495/ https://www.ncbi.nlm.nih.gov/pubmed/37897702 http://dx.doi.org/10.1093/bib/bbad370 |