GReNaDIne: A Data-Driven Python Library to Infer Gene Regulatory Networks from Gene Expression Data

Context: Inferring gene regulatory networks (GRN) from high-throughput gene expression data is a challenging task for which different strategies have been developed. Nevertheless, no ever-winning method exists, and each method has its advantages, intrinsic biases, and application domains. Thus, in o...

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Detalles Bibliográficos
Autores principales: Schmitt, Pauline, Sorin, Baptiste, Frouté, Timothée, Parisot, Nicolas, Calevro, Federica, Peignier, Sergio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9957546/
https://www.ncbi.nlm.nih.gov/pubmed/36833196
http://dx.doi.org/10.3390/genes14020269

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9957546/
https://www.ncbi.nlm.nih.gov/pubmed/36833196
http://dx.doi.org/10.3390/genes14020269

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