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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...
Autores principales: | Schmitt, Pauline, Sorin, Baptiste, Frouté, Timothée, Parisot, Nicolas, Calevro, Federica, Peignier, Sergio |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
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 |
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